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Erschienen in: Evolutionary Intelligence 2/2014

01.08.2014 | Special Issue

Beyond black-box optimization: a review of selective pressures for evolutionary robotics

verfasst von: Stephane Doncieux, Jean-Baptiste Mouret

Erschienen in: Evolutionary Intelligence | Ausgabe 2/2014

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Abstract

Evolutionary robotics (ER) is often viewed as the application of a family of black-box optimization algorithms—evolutionary algorithms—to the design of robots, or parts of robots. When considering ER as black-box optimization, the selective pressure is mainly driven by a user-defined, black-box fitness function, and a domain-independent selection procedure. However, most ER experiments face similar challenges in similar setups: the selective pressure, and, in particular, the fitness function, is not a pure user-defined black box. The present review shows that, because ER experiments share common features, selective pressures for ER are a subject of research on their own. The literature has been split into two categories: goal refiners, aimed at changing the definition of a good solution, and process helpers, designed to help the search process. Two sub-categories are further considered: task-specific approaches, which require knowledge on how to solve the task and task-agnostic ones, which do not need it. Besides highlighting the diversity of the approaches and their respective goals, the present review shows that many task-agnostic process helpers have been proposed during the last years, thus bringing us closer to the goal of a fully automated robot behavior design process.

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Fußnoten
1
At this modeling level, it can be hypothesized that the morphology can be included in \(u\).
 
4
Some process helpers may have side effects and change the optimum of the fitness function, whereas it was not the intent of its authors. They are here considered to be helper processes as long as such optimum modifications are not straightforward and have not been clearly identified.
 
5
In these studies, a model of the robot is learned before launching the EA. It was put in this category as, after the initial training—independent from the EA—the simulation model was not updated.
 
6
The term “red queen effect” is a reference to a statement made by the Red Queen to Alice In Lewis Carrol’s Through the Looking-Glass [30]: “Now, here, you see, it takes all the running you can do, to keep in the same place.”
 
Literatur
1.
Zurück zum Zitat Alpaydin E (2004) Introduction to machine learning. The MIT Press Alpaydin E (2004) Introduction to machine learning. The MIT Press
2.
Zurück zum Zitat Angeline PJ (2000) Competitive fitness evaluation. In: Back T, Fogel DB, Michalewicz Z (eds) Evolutionary computation, vol 2. Taylor & Francis, London, pp 12–14 Angeline PJ (2000) Competitive fitness evaluation. In: Back T, Fogel DB, Michalewicz Z (eds) Evolutionary computation, vol 2. Taylor & Francis, London, pp 12–14
3.
Zurück zum Zitat Auerbach JE, Bongard JC (2009) How robot morphology and training order affect the learning of multiple behaviors. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC’2009), pp 39–46 Auerbach JE, Bongard JC (2009) How robot morphology and training order affect the learning of multiple behaviors. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC’2009), pp 39–46
4.
Zurück zum Zitat Auerbach JE, Bongard JC (2012) On the relationship between environmental and mechanical complexity in evolved robots. In: Proceedings of artificial life conference (ALife XIII), pp 309–316 Auerbach JE, Bongard JC (2012) On the relationship between environmental and mechanical complexity in evolved robots. In: Proceedings of artificial life conference (ALife XIII), pp 309–316
5.
Zurück zum Zitat Auerbach JE, Bongard JC (2012) On the relationship between environmental and morphological complexity in evolved robots. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO’12). ACM Press, New York, NY, USA, pp 521–528 Auerbach JE, Bongard JC (2012) On the relationship between environmental and morphological complexity in evolved robots. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO’12). ACM Press, New York, NY, USA, pp 521–528
6.
Zurück zum Zitat Bajaj D, Ang M (2000) An incremental approach in evolving robot behavior. In: Proceedings of the international conference on control, automation, robotics and vision (ICARCV’2000) Bajaj D, Ang M (2000) An incremental approach in evolving robot behavior. In: Proceedings of the international conference on control, automation, robotics and vision (ICARCV’2000)
7.
Zurück zum Zitat Barate R, Manzanera A (2009) Evolution of visual controllers for obstacle avoidance in mobile robotics. Evoluti Intell 2(3):85–102CrossRef Barate R, Manzanera A (2009) Evolution of visual controllers for obstacle avoidance in mobile robotics. Evoluti Intell 2(3):85–102CrossRef
8.
Zurück zum Zitat Barlow GJ, Oh CK, Grant E (2004) Incremental evolution of autonomous controllers for unmanned aerial vehicles using multi-objective genetic programming. In: Proceedings of IEEE conference on cybernetics and intelligent systems (CIS’2004), vol 2, pp 689–694 Barlow GJ, Oh CK, Grant E (2004) Incremental evolution of autonomous controllers for unmanned aerial vehicles using multi-objective genetic programming. In: Proceedings of IEEE conference on cybernetics and intelligent systems (CIS’2004), vol 2, pp 689–694
9.
Zurück zum Zitat Berlanga A, Sanchis A, Isasi P, Molina JM (2000) A general learning co-evolution method to generalize autonomous robot navigation behavior. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC’2000), pp 769–776 Berlanga A, Sanchis A, Isasi P, Molina JM (2000) A general learning co-evolution method to generalize autonomous robot navigation behavior. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC’2000), pp 769–776
10.
Zurück zum Zitat Berlanga A, Sanchis A, Isasi P, Molina JM (2002) Neural network controller against environment: a coevolutive approach to generalize robot navigation behavior. J Intell Robot Syst 33(2):139–166CrossRefMATH Berlanga A, Sanchis A, Isasi P, Molina JM (2002) Neural network controller against environment: a coevolutive approach to generalize robot navigation behavior. J Intell Robot Syst 33(2):139–166CrossRefMATH
11.
Zurück zum Zitat Blanchard P, Devaney RL, Hall GR (2006) Differential equations. Thompson, London Blanchard P, Devaney RL, Hall GR (2006) Differential equations. Thompson, London
12.
Zurück zum Zitat Boeing A, Braunl T (2012) Leveraging multiple simulators for crossing the reality gap. In: Proceedings of international conference on control, automation, robotics and vision (ICARV’2012), pp 1113–1119 Boeing A, Braunl T (2012) Leveraging multiple simulators for crossing the reality gap. In: Proceedings of international conference on control, automation, robotics and vision (ICARV’2012), pp 1113–1119
13.
Zurück zum Zitat Bongard JC (2007) Action-selection and crossover strategies for self-modeling machines. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO’07). ACM Press, pp 198–205 Bongard JC (2007) Action-selection and crossover strategies for self-modeling machines. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO’07). ACM Press, pp 198–205
14.
Zurück zum Zitat Bongard JC (2008) Behavior chaining: incremental behavior integration for evolutionary robotics. In: Proceedings of artificial life conference (ALife XI), pp 64–71 Bongard JC (2008) Behavior chaining: incremental behavior integration for evolutionary robotics. In: Proceedings of artificial life conference (ALife XI), pp 64–71
15.
Zurück zum Zitat Bongard JC (2009) Accelerating self-modeling in cooperative robot teams. IEEE Trans Evol Comput 13(2):321–332CrossRef Bongard JC (2009) Accelerating self-modeling in cooperative robot teams. IEEE Trans Evol Comput 13(2):321–332CrossRef
16.
Zurück zum Zitat Bongard JC (2010) The utility of evolving simulated robot morphology increases with task complexity for object manipulation. Artif Life 16(3):201–23CrossRef Bongard JC (2010) The utility of evolving simulated robot morphology increases with task complexity for object manipulation. Artif Life 16(3):201–23CrossRef
17.
Zurück zum Zitat Bongard JC (2011) Innocent until proven guilty: reducing robot shaping from polynomial to linear time. IEEE Trans Evol Comput 15(4):571–585 Bongard JC (2011) Innocent until proven guilty: reducing robot shaping from polynomial to linear time. IEEE Trans Evol Comput 15(4):571–585  
18.
Zurück zum Zitat Bongard JC (2011) Morphological and environmental scaffolding synergize when evolving robot controllers. In: Proceedings of the international conference on genetic and evolutionary computation conference (GECCO’11), pp 179–186 Bongard JC (2011) Morphological and environmental scaffolding synergize when evolving robot controllers. In: Proceedings of the international conference on genetic and evolutionary computation conference (GECCO’11), pp 179–186
19.
Zurück zum Zitat Bongard JC (2011) Morphological change in machines accelerates the evolution of robust behavior. Proc Natl Acad Sci 108(4):1234–1239 Bongard JC (2011) Morphological change in machines accelerates the evolution of robust behavior. Proc Natl Acad Sci 108(4):1234–1239
20.
21.
Zurück zum Zitat Bongard JC, Hornby GS (2010) Guarding against premature convergence while accelerating evolutionary search. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO’10), pp 111–118. ACM Bongard JC, Hornby GS (2010) Guarding against premature convergence while accelerating evolutionary search. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO’10), pp 111–118. ACM
22.
Zurück zum Zitat Bongard JC, Hornby GS (2013) Combining fitness-based search and user modeling in evolutionary robotics. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO’13). ACM, pp 159–166 Bongard JC, Hornby GS (2013) Combining fitness-based search and user modeling in evolutionary robotics. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO’13). ACM, pp 159–166
23.
Zurück zum Zitat Bongard JC, Lipson H (2004) Automated damage diagnosis and recovery for remote robotics. In: Proceedings of the international conference of robotics and automation (ICRA’2004), vol 4:, pp 545–3550 Bongard JC, Lipson H (2004) Automated damage diagnosis and recovery for remote robotics. In: Proceedings of the international conference of robotics and automation (ICRA’2004), vol 4:, pp 545–3550
24.
Zurück zum Zitat Bongard JC, Lipson H (2004) Automated robot function recovery after unanticipated failure or environmental change using a minimum of hardware trials. In: Proceedings of evolvable hardware, pp 169–176 Bongard JC, Lipson H (2004) Automated robot function recovery after unanticipated failure or environmental change using a minimum of hardware trials. In: Proceedings of evolvable hardware, pp 169–176
25.
Zurück zum Zitat Bongard JC, Lipson H (2004) Once more unto the breach: co-evolving a robot and its simulator. In: Proceedings of the international conference on the simulation and synthesis of living systems (ALIFE9), pp 57–62 Bongard JC, Lipson H (2004) Once more unto the breach: co-evolving a robot and its simulator. In: Proceedings of the international conference on the simulation and synthesis of living systems (ALIFE9), pp 57–62
26.
Zurück zum Zitat Bongard JC, Zykov V, Lipson H (2006) Resilient machines through continuous self-modeling. Science 314(5802):1118–1121CrossRef Bongard JC, Zykov V, Lipson H (2006) Resilient machines through continuous self-modeling. Science 314(5802):1118–1121CrossRef
27.
Zurück zum Zitat Bredeche N, Montanier JM (2010) Environment-driven embodied evolution in a population of autonomous agents. In: Parallel problem solving from nature (PPSN XI). PPSN, vol 6239, pp 290–299 Bredeche N, Montanier JM (2010) Environment-driven embodied evolution in a population of autonomous agents. In: Parallel problem solving from nature (PPSN XI). PPSN, vol 6239, pp 290–299
28.
Zurück zum Zitat Buason G, Bergfeldt N, Ziemke T (2005) Brains, bodies, and beyond: competitive co-evolution of robot controllers, morphologies and environments. Genet Program Evol Mach 6(1):25–51CrossRef Buason G, Bergfeldt N, Ziemke T (2005) Brains, bodies, and beyond: competitive co-evolution of robot controllers, morphologies and environments. Genet Program Evol Mach 6(1):25–51CrossRef
29.
Zurück zum Zitat Buason G, Ziemke T (2003) Competitive co-evolution of predator and prey sensory-motor systems. In: Applications of evolutionary computing, pp 605–615 Buason G, Ziemke T (2003) Competitive co-evolution of predator and prey sensory-motor systems. In: Applications of evolutionary computing, pp 605–615
30.
Zurück zum Zitat Carroll L (1866) Alice’s adventures in wonderland and through the looking glass. MacMillan, New York Carroll L (1866) Alice’s adventures in wonderland and through the looking glass. MacMillan, New York
31.
Zurück zum Zitat Celis S, Hornby GS, Bongard JC (2013) Avoiding local optima with user demonstrations and low-level control. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC’2013), pp 3403–3410 Celis S, Hornby GS, Bongard JC (2013) Avoiding local optima with user demonstrations and low-level control. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC’2013), pp 3403–3410
32.
Zurück zum Zitat Cliff D, Miller GF (1995) Tracking the red queen: measurements of adaptive progress in co-evolutionary simulations. In: Proceedings of the Third European Conference on Artificial Life. LCNS vol 929, pp 200–218 Cliff D, Miller GF (1995) Tracking the red queen: measurements of adaptive progress in co-evolutionary simulations. In: Proceedings of the Third European Conference on Artificial Life. LCNS vol 929, pp 200–218
33.
Zurück zum Zitat Cliff D, Miller GF (1996) Co-evolution of pursuit and evasion II: simulation methods and results. In: Proceedings of the international conference on simulation of adaptive behavior (SAB’96) Cliff D, Miller GF (1996) Co-evolution of pursuit and evasion II: simulation methods and results. In: Proceedings of the international conference on simulation of adaptive behavior (SAB’96)
34.
Zurück zum Zitat Clune J, Lipson H (2011) Evolving three-dimensional objects with a generative encoding inspired by developmental biology. In: Proceedings of the European conference on artificial life (ECAL’11) Clune J, Lipson H (2011) Evolving three-dimensional objects with a generative encoding inspired by developmental biology. In: Proceedings of the European conference on artificial life (ECAL’11)
35.
Zurück zum Zitat Clune J, Stanley KO, Pennock RT, Ofria C (2011) On the performance of indirect encoding across the continuum of regularity. IEEE Trans Evol Comput 15(3):346–367 Clune J, Stanley KO, Pennock RT, Ofria C (2011) On the performance of indirect encoding across the continuum of regularity. IEEE Trans Evol Comput 15(3):346–367
36.
Zurück zum Zitat Cuccu G, Gomez F (2011) When novelty is not enough. In: Applications of evolutionary computation, pp 234–243 Cuccu G, Gomez F (2011) When novelty is not enough. In: Applications of evolutionary computation, pp 234–243
37.
Zurück zum Zitat Cully A, Mouret J-B (2013) Behavioral repertoire learning in robotics. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO’13), pp 175–182 Cully A, Mouret J-B (2013) Behavioral repertoire learning in robotics. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO’13), pp 175–182
38.
Zurück zum Zitat Dawkins R (1976) The selfish gene. Oxford University Press, Oxford Dawkins R (1976) The selfish gene. Oxford University Press, Oxford
39.
Zurück zum Zitat Dawkins R, Krebs JR (1979) Arms races between and within species. Proc R Soc B Biol Sci 205(1161):489–511CrossRef Dawkins R, Krebs JR (1979) Arms races between and within species. Proc R Soc B Biol Sci 205(1161):489–511CrossRef
40.
Zurück zum Zitat De Garis H (1990) Building nanobrains with genetically programmed neural networks modules. In: Proceedings of the international joint conference on neural networks (IJCNN’1990), pp 511–516 De Garis H (1990) Building nanobrains with genetically programmed neural networks modules. In: Proceedings of the international joint conference on neural networks (IJCNN’1990), pp 511–516
41.
Zurück zum Zitat De Jong ED, Pollack JB (2004) Ideal evaluation from coevolution. Evol Comput 12(2):159–192 De Jong ED, Pollack JB (2004) Ideal evaluation from coevolution. Evol Comput 12(2):159–192
42.
Zurück zum Zitat De Jong ED, Watson RA, Pollack JB (2001) Reducing bloat and promoting diversity using multi-objective methods. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO’01), pp 11–18. ACM De Jong ED, Watson RA, Pollack JB (2001) Reducing bloat and promoting diversity using multi-objective methods. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO’01), pp 11–18. ACM
43.
Zurück zum Zitat De Jong KA (2006) Evolutionary computation: a unified approach, vol 262041944. MIT Press, Cambridge De Jong KA (2006) Evolutionary computation: a unified approach, vol 262041944. MIT Press, Cambridge
44.
Zurück zum Zitat de Nardi R, Holland OE (2008) Coevolutionary modelling of a miniature rotorcraft. In: Proceedings of the international conference on intelligent autonomous systems (IAS10) de Nardi R, Holland OE (2008) Coevolutionary modelling of a miniature rotorcraft. In: Proceedings of the international conference on intelligent autonomous systems (IAS10)
45.
Zurück zum Zitat de Nardi R, Togelius J, Holland OE, Lucas SM (2006) Evolution of neural networks for helicopter control: why modularity matters. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC’2006), pp 1799–1806. IEEE de Nardi R, Togelius J, Holland OE, Lucas SM (2006) Evolution of neural networks for helicopter control: why modularity matters. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC’2006), pp 1799–1806. IEEE
46.
Zurück zum Zitat Deb K (2001) Multi-objectives optimization using evolutionnary algorithms. Wiley, London Deb K (2001) Multi-objectives optimization using evolutionnary algorithms. Wiley, London
47.
Zurück zum Zitat Delarboulas P, Schoenauer M, Sebag M (2010) Open-ended evolutionary robotics: an information theoretic approach. In: Proceedings of parallel problem solving from nature (PPSN XI), vol 216342, pp 334–343 Delarboulas P, Schoenauer M, Sebag M (2010) Open-ended evolutionary robotics: an information theoretic approach. In: Proceedings of parallel problem solving from nature (PPSN XI), vol 216342, pp 334–343
48.
Zurück zum Zitat Di Mario E, Navarro I, Martinoli A (2013) The effect of the environment in the synthesis of robotic controllers: a case study in multi-robot obstacle avoidance using distributed particle swarm optimization. In: Advances in artificial life, ECAL 2013, Sept 2013, pp 561–568 Di Mario E, Navarro I, Martinoli A (2013) The effect of the environment in the synthesis of robotic controllers: a case study in multi-robot obstacle avoidance using distributed particle swarm optimization. In: Advances in artificial life, ECAL 2013, Sept 2013, pp 561–568
49.
Zurück zum Zitat Doncieux S (2013) Transfer learning for direct policy search: a reward shaping approach. In: Proceedings of the IEEE conference on development and learning and epigenetic robotics (ICDL-EpiRob 2013) Doncieux S (2013) Transfer learning for direct policy search: a reward shaping approach. In: Proceedings of the IEEE conference on development and learning and epigenetic robotics (ICDL-EpiRob 2013)
50.
Zurück zum Zitat Doncieux S, Meyer J-A (2004) Evolving modular neural networks to solve challenging control problems. In: Proceedings of the fourth international ICSC symposium on engineering of intelligent systems (EIS 2004) Doncieux S, Meyer J-A (2004) Evolving modular neural networks to solve challenging control problems. In: Proceedings of the fourth international ICSC symposium on engineering of intelligent systems (EIS 2004)
51.
Zurück zum Zitat Doncieux S, Mouret J-B (2010) Behavioral diversity measures for evolutionary robotics. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC2010), pp 1303–1310 Doncieux S, Mouret J-B (2010) Behavioral diversity measures for evolutionary robotics. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC2010), pp 1303–1310
52.
Zurück zum Zitat Doncieux S, Mouret J-B (2013) Behavioral diversity with multiple behavioral distances. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC2013), June 2013, pp 1427–1434. IEEE Doncieux S, Mouret J-B (2013) Behavioral diversity with multiple behavioral distances. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC2013), June 2013, pp 1427–1434. IEEE
53.
Zurück zum Zitat Doncieux S, Mouret J-B, Bredeche N, Padois V (2011) Evolutionary robotics: exploring new horizons. Springer, Berlin, pp 3–25 Doncieux S, Mouret J-B, Bredeche N, Padois V (2011) Evolutionary robotics: exploring new horizons. Springer, Berlin, pp 3–25
54.
Zurück zum Zitat Dozier G (2001) Evolving robot behavior via interactive evolutionary computation: from real-world to simulation. In: Proceedings of the ACM symposium on applied computing (SAC’2001), pp 340–344. ACM Dozier G (2001) Evolving robot behavior via interactive evolutionary computation: from real-world to simulation. In: Proceedings of the ACM symposium on applied computing (SAC’2001), pp 340–344. ACM
55.
Zurück zum Zitat Duarte M, Oliveira S, Christensen AL (2012) Hierarchical evolution of robotic controllers for complex tasks. In: Proceedings of the IEEE conference on development and learning and epigenetic robotics (ICDL-EpiRob 2012) Duarte M, Oliveira S, Christensen AL (2012) Hierarchical evolution of robotic controllers for complex tasks. In: Proceedings of the IEEE conference on development and learning and epigenetic robotics (ICDL-EpiRob 2012)
56.
Zurück zum Zitat Eiben AE, Smith JE (2008) Introduction to evolutionary computing (natural computing series). Springer, Berlin Eiben AE, Smith JE (2008) Introduction to evolutionary computing (natural computing series). Springer, Berlin
57.
Zurück zum Zitat Farchy A, Barrett S, MacAlpine P, Stone P (2013) Humanoid robots learning to walk faster: from the real world to simulation and back. In: Proceedings of the international conference on autonomous agents and multi-agent systems (AAMAS’2013), pp 39–46 Farchy A, Barrett S, MacAlpine P, Stone P (2013) Humanoid robots learning to walk faster: from the real world to simulation and back. In: Proceedings of the international conference on autonomous agents and multi-agent systems (AAMAS’2013), pp 39–46
58.
Zurück zum Zitat Filliat D, Kodjabachian J, Meyer J-A (1999) Evolution of neural controllers for locomotion and obstacle-avoidance in a 6-legged robot. Connect Sci 11:223–240CrossRef Filliat D, Kodjabachian J, Meyer J-A (1999) Evolution of neural controllers for locomotion and obstacle-avoidance in a 6-legged robot. Connect Sci 11:223–240CrossRef
59.
Zurück zum Zitat Floreano D, Dürr P, Mattiussi C (2008) Neuroevolution: from architectures to learning. Evol Intell 1(1):47–62CrossRef Floreano D, Dürr P, Mattiussi C (2008) Neuroevolution: from architectures to learning. Evol Intell 1(1):47–62CrossRef
60.
Zurück zum Zitat Floreano D, Mattiussi C (2008) Bio-inspired artificial intelligence: theories, methods, and technologies. Intelligent robotics and autonomous agents. MIT Press, Cambridge Floreano D, Mattiussi C (2008) Bio-inspired artificial intelligence: theories, methods, and technologies. Intelligent robotics and autonomous agents. MIT Press, Cambridge
61.
Zurück zum Zitat Floreano D, Mondada F (1998) Evolutionary neurocontrollers for autonomous mobile robots. Neural Networks 11(7–8):1461–1478CrossRef Floreano D, Mondada F (1998) Evolutionary neurocontrollers for autonomous mobile robots. Neural Networks 11(7–8):1461–1478CrossRef
62.
Zurück zum Zitat Floreano D, Nolfi S (1997) Adaptive behavior in competing co-evolving species. In: Proceedings of the European conference on artificial life (ECAL’97), pp 378–387 Floreano D, Nolfi S (1997) Adaptive behavior in competing co-evolving species. In: Proceedings of the European conference on artificial life (ECAL’97), pp 378–387
63.
Zurück zum Zitat Floreano D, Nolfi S (1997) God save the red queen! Competition in co-evolutionary robotics. In: Proceedings of the 2nd conference on genetic programming, vol 5 Floreano D, Nolfi S (1997) God save the red queen! Competition in co-evolutionary robotics. In: Proceedings of the 2nd conference on genetic programming, vol 5
64.
Zurück zum Zitat Floreano D, Nolfi S, Mondada F (1998) Competitive co-evolutionary robotics: from theory to practice. In: Proceedings of the international conference on simulation of adaptive behavior (SAB98), pp 515–524 Floreano D, Nolfi S, Mondada F (1998) Competitive co-evolutionary robotics: from theory to practice. In: Proceedings of the international conference on simulation of adaptive behavior (SAB98), pp 515–524
65.
Zurück zum Zitat Floreano D, Nolfi S, Mondada F (2001) Co-evolution and ontogenetic change in competing robots. In: Advances in the evolutionary synthesis of intelligent agents, pp 273–306 Floreano D, Nolfi S, Mondada F (2001) Co-evolution and ontogenetic change in competing robots. In: Advances in the evolutionary synthesis of intelligent agents, pp 273–306
66.
Zurück zum Zitat Fogel LJ, Owens AJ, Walsh MJ (1966) Artificial intelligence through simulated evolution. Wiley, New YorkMATH Fogel LJ, Owens AJ, Walsh MJ (1966) Artificial intelligence through simulated evolution. Wiley, New YorkMATH
67.
Zurück zum Zitat Friedrich T, Oliveto PS, Sudholt D, Witt C (2008) Theoretical analysis of diversity mechanisms for global exploration. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO’08), pp 945–952. ACM Friedrich T, Oliveto PS, Sudholt D, Witt C (2008) Theoretical analysis of diversity mechanisms for global exploration. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO’08), pp 945–952. ACM
68.
Zurück zum Zitat Goldberg DE (1987) Simple genetic algorithms and the minimal, deceptive problem. In: Davis L (eds) Genetic algorithms and simulated annealing. Morgan Kaufman, San Mato, pp 74–88 Goldberg DE (1987) Simple genetic algorithms and the minimal, deceptive problem. In: Davis L (eds) Genetic algorithms and simulated annealing. Morgan Kaufman, San Mato, pp 74–88
69.
Zurück zum Zitat Gomes J, Christensen AL (2013) Generic behaviour similarity measures for evolutionary swarm robotics. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO13), pp 199–206 Gomes J, Christensen AL (2013) Generic behaviour similarity measures for evolutionary swarm robotics. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO13), pp 199–206
70.
Zurück zum Zitat Gomes J, Urbano P, Christensen AL (2012) Introducing novelty search in evolutionary swarm robotics. In: Proceedings of the international conference on swarm intelligence (ANTS’2012), pp 85–96 Gomes J, Urbano P, Christensen AL (2012) Introducing novelty search in evolutionary swarm robotics. In: Proceedings of the international conference on swarm intelligence (ANTS’2012), pp 85–96
71.
Zurück zum Zitat Gomes J, Urbano P, Christensen AL (2012) Progressive minimal criteria novelty search. In: Advances in artificial intelligence (IBERAMIA), pp 281–290 Gomes J, Urbano P, Christensen AL (2012) Progressive minimal criteria novelty search. In: Advances in artificial intelligence (IBERAMIA), pp 281–290
72.
Zurück zum Zitat Gomes J, Urbano P, Christensen AL (2013) Evolution of swarm robotics systems with novelty search. Swarm Intell 7(2–3):115–144 Gomes J, Urbano P, Christensen AL (2013) Evolution of swarm robotics systems with novelty search. Swarm Intell 7(2–3):115–144
73.
Zurück zum Zitat Gomez FJ (2009) Sustaining diversity using behavioral information distance. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO09), pp 113–120. ACM Gomez FJ (2009) Sustaining diversity using behavioral information distance. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO09), pp 113–120. ACM
74.
Zurück zum Zitat Gomez FJ, Miikkulainen R (1997) Incremental evolution of complex general behavior. Adapt Behav 5(3–4):317–342CrossRef Gomez FJ, Miikkulainen R (1997) Incremental evolution of complex general behavior. Adapt Behav 5(3–4):317–342CrossRef
75.
Zurück zum Zitat Gomez FJ, Miikkulainen R (2004) Transfer of neuroevolved controllers in unstable domains. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO04), pp 957–968 Gomez FJ, Miikkulainen R (2004) Transfer of neuroevolved controllers in unstable domains. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO04), pp 957–968
76.
Zurück zum Zitat Gould SJ, Vrba ES (1982) Exaptation—a missing term in the science of form. Paleobiology 8(1):4–15 Gould SJ, Vrba ES (1982) Exaptation—a missing term in the science of form. Paleobiology 8(1):4–15
77.
Zurück zum Zitat Grefenstette J, Daley R (1996) Methods for competitive and cooperative co-evolution. In: Adaptation, coevolution and learning in multiagent systems: papers from the 1996 AAAI Spring Symposium Grefenstette J, Daley R (1996) Methods for competitive and cooperative co-evolution. In: Adaptation, coevolution and learning in multiagent systems: papers from the 1996 AAAI Spring Symposium
78.
Zurück zum Zitat Gruau F, Quatramaran K (1997) Cellular encoding for interactive evolutionary robotics. In: Proceedings of European conference on artificial life (ECAL’97), pp 368–377 Gruau F, Quatramaran K (1997) Cellular encoding for interactive evolutionary robotics. In: Proceedings of European conference on artificial life (ECAL’97), pp 368–377
79.
Zurück zum Zitat Haasdijk E, Weel B, Eiben A (2013) Right on the monee. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO13), pp 207–214 Haasdijk E, Weel B, Eiben A (2013) Right on the monee. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO13), pp 207–214
80.
Zurück zum Zitat Hartland C, Bredeche N, Sebag M (2009) Memory-enhanced evolutionary robotics: the echo state network approach. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC’2009), pp 2788–2795 Hartland C, Bredeche N, Sebag M (2009) Memory-enhanced evolutionary robotics: the echo state network approach. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC’2009), pp 2788–2795
81.
Zurück zum Zitat Harvey I, Husbands P, Cliff D (1994) Seeing the light: artificial evolution; real vision. In: Cliff D, Husbands P, Meyer J-A, Wilson S (eds) Proceedings of the international conference on simulation of adaptive behavior (SAB94). MIT Press/Bradford Books, Cambridge, pp 392–401 Harvey I, Husbands P, Cliff D (1994) Seeing the light: artificial evolution; real vision. In: Cliff D, Husbands P, Meyer J-A, Wilson S (eds) Proceedings of the international conference on simulation of adaptive behavior (SAB94). MIT Press/Bradford Books, Cambridge, pp 392–401
82.
Zurück zum Zitat Hillis WD (1990) Co-evolving parasites improve simulated evolution as an optimization procedure. Phys D Nonlinear Phenom 42(1):228–234CrossRef Hillis WD (1990) Co-evolving parasites improve simulated evolution as an optimization procedure. Phys D Nonlinear Phenom 42(1):228–234CrossRef
83.
Zurück zum Zitat Holland JH (1975) Adaptation in natural and artificial systems. University of Michigan Press, Ann Arbor Holland JH (1975) Adaptation in natural and artificial systems. University of Michigan Press, Ann Arbor
84.
Zurück zum Zitat Hornby GS (2009) Steady-state ALPS for real-valued problems. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO’09), pp 795–802, New York, NY, USA. ACM Press Hornby GS (2009) Steady-state ALPS for real-valued problems. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO’09), pp 795–802, New York, NY, USA. ACM Press
85.
Zurück zum Zitat Hornby GS, Pollack JB (2002) Creating high-level components with a generative representation for body–brain evolution. Artif Life 8(3):223–246CrossRef Hornby GS, Pollack JB (2002) Creating high-level components with a generative representation for body–brain evolution. Artif Life 8(3):223–246CrossRef
86.
Zurück zum Zitat Hornby GS (2006) ALPS: the age-layered population structure for reducing the problem of premature convergence. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO’06), pp 815–822 Hornby GS (2006) ALPS: the age-layered population structure for reducing the problem of premature convergence. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO’06), pp 815–822
87.
Zurück zum Zitat Hsu WH, Gustafson SM (2002) Genetic programming and multi-agent layered learning by reinforcements. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO02), pp 764–771 Hsu WH, Gustafson SM (2002) Genetic programming and multi-agent layered learning by reinforcements. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO02), pp 764–771
88.
Zurück zum Zitat Jakobi N (1997) Evolutionary robotics and the radical envelope of noise hypothesis. Adapt Behav 6(1):131–174CrossRef Jakobi N (1997) Evolutionary robotics and the radical envelope of noise hypothesis. Adapt Behav 6(1):131–174CrossRef
89.
Zurück zum Zitat Jakobi N, Husbands P, Harvey I (1995) Noise and the reality gap: the use of simulation in evolutionary robotics. In: Lecture notes in computer science, vol 929, pp 704–720CrossRef Jakobi N, Husbands P, Harvey I (1995) Noise and the reality gap: the use of simulation in evolutionary robotics. In: Lecture notes in computer science, vol 929, pp 704–720CrossRef
90.
Zurück zum Zitat Jensen MT (2004) Helper-objectives: using multi-objective evolutionary algorithms for single-objective optimisation. J Math Model Algorithms 3(4):323–347CrossRefMATHMathSciNet Jensen MT (2004) Helper-objectives: using multi-objective evolutionary algorithms for single-objective optimisation. J Math Model Algorithms 3(4):323–347CrossRefMATHMathSciNet
91.
Zurück zum Zitat Klyubin AS, Polani D, Nehaniv CL (2005) Empowerment: a universal agent-centric measure of control. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC), pp 128–135 Klyubin AS, Polani D, Nehaniv CL (2005) Empowerment: a universal agent-centric measure of control. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC), pp 128–135
92.
Zurück zum Zitat Knowles J, Watson Richard A, Corne D (2001) Reducing local optima in single-objective problems by multi-objectivization. In Evolutionary multi-criterion optimization, pp 269–283. Springer Knowles J, Watson Richard A, Corne D (2001) Reducing local optima in single-objective problems by multi-objectivization. In Evolutionary multi-criterion optimization, pp 269–283. Springer
93.
Zurück zum Zitat Knowles JD, Watson RA, Corne DW (2001) Reducing local optima in single-objective problems by multi-objectivization. In: Proceedings of first international conference on evolutionary multi-criterion optimization 1993, pp 268–282 Knowles JD, Watson RA, Corne DW (2001) Reducing local optima in single-objective problems by multi-objectivization. In: Proceedings of first international conference on evolutionary multi-criterion optimization 1993, pp 268–282
94.
Zurück zum Zitat Chavas J, Corne C, Horvai P, Kodjabachian J, Meyer JA (1998) Incremental evolution of neural controllers for robust obstacle-avoidance in Khepera. In: Husbands P, Meyer JA (eds) Proceedings of the first European workshop on evolutionary robotics - EvoRobot'98. LCNS vol 1468. Springer, pp 227–247 Chavas J, Corne C, Horvai P, Kodjabachian J, Meyer JA (1998) Incremental evolution of neural controllers for robust obstacle-avoidance in Khepera. In: Husbands P, Meyer JA (eds) Proceedings of the first European workshop on evolutionary robotics - EvoRobot'98. LCNS vol 1468. Springer, pp 227–247
95.
Zurück zum Zitat Kodjabachian J, Meyer J-A (1997) Evolution and development of neural networks controlling locomotion, gradient-following, and obstacle-avoidance in artificial insects. IEEE Trans Neural Netw 9:796–812CrossRef Kodjabachian J, Meyer J-A (1997) Evolution and development of neural networks controlling locomotion, gradient-following, and obstacle-avoidance in artificial insects. IEEE Trans Neural Netw 9:796–812CrossRef
96.
Zurück zum Zitat Koos S, Mouret J-B, Doncieux S (2009) Automatic system identification based on coevolution of models and tests. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC2009), pp 560–567 Koos S, Mouret J-B, Doncieux S (2009) Automatic system identification based on coevolution of models and tests. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC2009), pp 560–567
97.
Zurück zum Zitat Koos S, Mouret J-B, Doncieux S (2010) Crossing the reality gap in evolutionary robotics by promoting transferable controllers. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO10), pp 119–126 Koos S, Mouret J-B, Doncieux S (2010) Crossing the reality gap in evolutionary robotics by promoting transferable controllers. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO10), pp 119–126
98.
Zurück zum Zitat Koos S, Mouret J-B, Doncieux S (2013) The transferability spproach: crossing the reality gap in evolutionary robotics. IEEE Trans Evol Comput 17(1):122–145CrossRef Koos S, Mouret J-B, Doncieux S (2013) The transferability spproach: crossing the reality gap in evolutionary robotics. IEEE Trans Evol Comput 17(1):122–145CrossRef
99.
Zurück zum Zitat Koza JR (1993) Genetic programming: on the programming of computers by means of natural selection. MIT Press, London Koza JR (1993) Genetic programming: on the programming of computers by means of natural selection. MIT Press, London
100.
Zurück zum Zitat Krcah P (2010) Solving deceptive tasks in robot body–brain co-evolution by searching for behavioral novelty. In: Proceedings of the international conference on intelligent systems design and applications (ISDA’2010), pp 284–289 Krcah P (2010) Solving deceptive tasks in robot body–brain co-evolution by searching for behavioral novelty. In: Proceedings of the international conference on intelligent systems design and applications (ISDA’2010), pp 284–289
101.
Zurück zum Zitat Kuhn TS (1962) The structure of scientific revolutions. University of Chicago Press, Chicago Kuhn TS (1962) The structure of scientific revolutions. University of Chicago Press, Chicago
102.
Zurück zum Zitat Lee W (1999) Evolving complex robot behaviors. Inf Sci 121(1–2):1–25CrossRef Lee W (1999) Evolving complex robot behaviors. Inf Sci 121(1–2):1–25CrossRef
103.
Zurück zum Zitat Lehman J, Risi S, Ambrosio DD, Stanley KO (2013) Encouraging reactivity to create robust machines. Adapt Behav 21:484–500 Lehman J, Risi S, Ambrosio DD, Stanley KO (2013) Encouraging reactivity to create robust machines. Adapt Behav 21:484–500
104.
Zurück zum Zitat Lehman J, Stanley KO (2008) Exploiting open-endedness to solve problems through the search for novelty. In: Proceedings of artificial life conference (ALife XI), pp 329–336 Lehman J, Stanley KO (2008) Exploiting open-endedness to solve problems through the search for novelty. In: Proceedings of artificial life conference (ALife XI), pp 329–336
105.
Zurück zum Zitat Lehman J, Stanley KO (2010) Revising the evolutionary computation abstraction: minimal criteria novelty search. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO10), pp 103–110 Lehman J, Stanley KO (2010) Revising the evolutionary computation abstraction: minimal criteria novelty search. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO10), pp 103–110
106.
Zurück zum Zitat Lehman J, Stanley KO (2011) Abandoning objectives: evolution through the search for novelty alone. Evol Comput 19(2):189–223CrossRef Lehman J, Stanley KO (2011) Abandoning objectives: evolution through the search for novelty alone. Evol Comput 19(2):189–223CrossRef
107.
Zurück zum Zitat Lehman J, Stanley KO (2011) Evolving a diversity of creatures through novelty search and local competition. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO11), pp 211–218 Lehman J, Stanley KO (2011) Evolving a diversity of creatures through novelty search and local competition. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO11), pp 211–218
108.
Zurück zum Zitat Lehman J, Stanley KO (2011) Novelty search and the problem with objectives. Genet Program Theory Pract IX, pp 37–56 Lehman J, Stanley KO (2011) Novelty search and the problem with objectives. Genet Program Theory Pract IX, pp 37–56
109.
Zurück zum Zitat Lehman J, Stanley KO (2013) Evolvability is inevitable: increasing evolvability without the pressure to adapt. PloS One 8(4):e62186CrossRef Lehman J, Stanley KO (2013) Evolvability is inevitable: increasing evolvability without the pressure to adapt. PloS One 8(4):e62186CrossRef
110.
Zurück zum Zitat Lehman J, Stanley KO, Miikkulainen R (2013) Effective diversity maintenance in deceptive domains. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO13). ACM Press, New York, NY, USA, pp 215–222 Lehman J, Stanley KO, Miikkulainen R (2013) Effective diversity maintenance in deceptive domains. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO13). ACM Press, New York, NY, USA, pp 215–222
111.
Zurück zum Zitat Lewis MA, Fagg AH, Solidum A (1992) Genetic programming approach to the construction of a neural network for control of a walking robot. In: Proceedings of the IEEE international conference on robotics and automation (ICRA’1992), pp 2618–2623 Lewis MA, Fagg AH, Solidum A (1992) Genetic programming approach to the construction of a neural network for control of a walking robot. In: Proceedings of the IEEE international conference on robotics and automation (ICRA’1992), pp 2618–2623
112.
Zurück zum Zitat Liapis A, Yannakakis GN, Togelius Julian (2013) Enhancements to constrained novelty search: two-population novelty search for generating game content. In: Proceedings of of the international conference on genetic and evolutionary computation (GECCO’13), pp 343–350 Liapis A, Yannakakis GN, Togelius Julian (2013) Enhancements to constrained novelty search: two-population novelty search for generating game content. In: Proceedings of of the international conference on genetic and evolutionary computation (GECCO’13), pp 343–350
113.
Zurück zum Zitat Lipson H (2005) Evolutionary robotics and open-ended design automation. Biomimetics 17(9):129–155CrossRef Lipson H (2005) Evolutionary robotics and open-ended design automation. Biomimetics 17(9):129–155CrossRef
114.
Zurück zum Zitat Lipson H, Pollack JB (2000) Automatic design and manufacture of robotic lifeforms. Nature 406:974–978CrossRef Lipson H, Pollack JB (2000) Automatic design and manufacture of robotic lifeforms. Nature 406:974–978CrossRef
115.
Zurück zum Zitat Lund HH, Miglino O (1998) Evolving and breeding robots. Evol Robot, LCNS vol 1468. Springer, pp 192–210 Lund HH, Miglino O (1998) Evolving and breeding robots. Evol Robot, LCNS vol 1468. Springer, pp 192–210
116.
Zurück zum Zitat Lund HH, Miglino O, Pagliarini L, Billard A, Ijspeert A (1998) Evolutionary robotics—a children’s game. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC1998), pp 154–158. IEEE Lund HH, Miglino O, Pagliarini L, Billard A, Ijspeert A (1998) Evolutionary robotics—a children’s game. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC1998), pp 154–158. IEEE
117.
Zurück zum Zitat Mahfoud SW (1997) Niching methods. In: Bäck T, Fogel DB, Michalewicz Z (eds) Handbook of evolutionary computation. Taylor & Francis, London Mahfoud SW (1997) Niching methods. In: Bäck T, Fogel DB, Michalewicz Z (eds) Handbook of evolutionary computation. Taylor & Francis, London
118.
Zurück zum Zitat Meyer J-A, Guillot A (2008) Biologically-inspired robots. In: Siciliano O, Khatib B (eds) Handbook of robotics. Springer, Berlin, pp 1–38 Meyer J-A, Guillot A (2008) Biologically-inspired robots. In: Siciliano O, Khatib B (eds) Handbook of robotics. Springer, Berlin, pp 1–38
119.
Zurück zum Zitat Meyer J-A, Guillot A, Girard B, Khamassi M, Pirim P, Berthoz A (2005) The Psikharpax project: towards building an artificial rat. Robot Auton Syst 50(4):211–223CrossRef Meyer J-A, Guillot A, Girard B, Khamassi M, Pirim P, Berthoz A (2005) The Psikharpax project: towards building an artificial rat. Robot Auton Syst 50(4):211–223CrossRef
120.
Zurück zum Zitat Meyer J-A, Wilson S (1991) Simulation of adaptive behavior in animats: review and prospect. In: Proceedings of the international conference on simulation of adaptive behavior (SAB91), pp 2–14 Meyer J-A, Wilson S (1991) Simulation of adaptive behavior in animats: review and prospect. In: Proceedings of the international conference on simulation of adaptive behavior (SAB91), pp 2–14
121.
Zurück zum Zitat Miglino O, Lund HH, Nolfi S (1995) Evolving mobile robots in simulated and real environments. Artif Life 2(4):417–434CrossRef Miglino O, Lund HH, Nolfi S (1995) Evolving mobile robots in simulated and real environments. Artif Life 2(4):417–434CrossRef
122.
Zurück zum Zitat Miller GF, Cliff D (1994) Protean behavior in dynamic games: arguments for the co-evolution of pursuit-evasion tactics. In: Proceedings of the international conference on simulation of adaptive behavior (SAB94), pp 411–420. MIT Press Miller GF, Cliff D (1994) Protean behavior in dynamic games: arguments for the co-evolution of pursuit-evasion tactics. In: Proceedings of the international conference on simulation of adaptive behavior (SAB94), pp 411–420. MIT Press
123.
Zurück zum Zitat Moriarty DE, Miikkulainen R (1997) Forming neural networks through efficient and adaptive coevolution. Evol Comput 5(4):373–399CrossRef Moriarty DE, Miikkulainen R (1997) Forming neural networks through efficient and adaptive coevolution. Evol Comput 5(4):373–399CrossRef
124.
Zurück zum Zitat Moriguchi H, Honiden S (2010) Sustaining behavioral diversity in NEAT. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO10), pp 611–618. ACM Moriguchi H, Honiden S (2010) Sustaining behavioral diversity in NEAT. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO10), pp 611–618. ACM
125.
Zurück zum Zitat Moshaiov A, Ashram-Wittenberg A (2009) Multi-objective evolution of robot neuro-controllers. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC2009), pp 1093–1100 Moshaiov A, Ashram-Wittenberg A (2009) Multi-objective evolution of robot neuro-controllers. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC2009), pp 1093–1100
126.
Zurück zum Zitat Mouret J-B (2011) Novelty-based multiobjectivization. In New horizons in evolutionary robotics: extended contributions of the 2009 EvoDeRob workshop, pp 139–154. Springer Mouret J-B (2011) Novelty-based multiobjectivization. In New horizons in evolutionary robotics: extended contributions of the 2009 EvoDeRob workshop, pp 139–154. Springer
127.
Zurück zum Zitat Mouret J-B, Doncieux S (2008) Incremental evolution of animats’ behaviors as a multi-objective optimization. In: Proceedings of the international conference on simulation of adaptive behavior (SAB08), vol 5040, pp 210–219. Springer Mouret J-B, Doncieux S (2008) Incremental evolution of animats’ behaviors as a multi-objective optimization. In: Proceedings of the international conference on simulation of adaptive behavior (SAB08), vol 5040, pp 210–219. Springer
128.
Zurück zum Zitat Mouret J-B, Doncieux S (2008) MENNAG: a modular, regular and hierarchical encoding for neural-networks based on attribute grammars. Evol Intell 1:187–207CrossRef Mouret J-B, Doncieux S (2008) MENNAG: a modular, regular and hierarchical encoding for neural-networks based on attribute grammars. Evol Intell 1:187–207CrossRef
129.
Zurück zum Zitat Mouret J-B, Doncieux S (2009) Overcoming the bootstrap problem in evolutionary robotics using behavioral diversity. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC2009), pp 1161–1168 Mouret J-B, Doncieux S (2009) Overcoming the bootstrap problem in evolutionary robotics using behavioral diversity. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC2009), pp 1161–1168
130.
Zurück zum Zitat Mouret J-B, Doncieux S (2009) Using behavioral exploration objectives to solve deceptive problems in neuro-evolution. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO09), pp 627–634. ACM Mouret J-B, Doncieux S (2009) Using behavioral exploration objectives to solve deceptive problems in neuro-evolution. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO09), pp 627–634. ACM
131.
Zurück zum Zitat Mouret J-B, Doncieux S (2012) Encouraging behavioral diversity in evolutionary robotics: an empirical study. Evol Comput 20(1):91–133CrossRef Mouret J-B, Doncieux S (2012) Encouraging behavioral diversity in evolutionary robotics: an empirical study. Evol Comput 20(1):91–133CrossRef
132.
Zurück zum Zitat Mouret J-B, Doncieux S, Meyer J-A (2006) Incremental evolution of target-following neuro-controllers for flapping-wing animats. In: Proceedings of the international conference on simulation of adaptive behavior (SAB06), pp 606–618 Mouret J-B, Doncieux S, Meyer J-A (2006) Incremental evolution of target-following neuro-controllers for flapping-wing animats. In: Proceedings of the international conference on simulation of adaptive behavior (SAB06), pp 606–618
133.
Zurück zum Zitat Mouret J-B, Koos S, Doncieux S (2012) Crossing the reality gap: a short introduction to the transferability approach. In: Proceedings of the ALIFE workshop “evolution in physical systems” Mouret J-B, Koos S, Doncieux S (2012) Crossing the reality gap: a short introduction to the transferability approach. In: Proceedings of the ALIFE workshop “evolution in physical systems”
134.
Zurück zum Zitat Nelson AL, Barlow GJ, Doitsidis L (2009) Fitness functions in evolutionary robotics: a survey and analysis. Robot Auton Syst 57(4):345–370CrossRef Nelson AL, Barlow GJ, Doitsidis L (2009) Fitness functions in evolutionary robotics: a survey and analysis. Robot Auton Syst 57(4):345–370CrossRef
135.
Zurück zum Zitat Nelson AL, Grant E, Henderson TC (2004) Evolution of neural controllers for competitive game playing with teams of mobile robots. Robot Auton Syst 46(3):135–150CrossRef Nelson AL, Grant E, Henderson TC (2004) Evolution of neural controllers for competitive game playing with teams of mobile robots. Robot Auton Syst 46(3):135–150CrossRef
136.
Zurück zum Zitat Nitschke G (2003) Co-evolution of cooperation in a pursuit evasion game. In: Procedings of IEEE/RSJ international conference on intelligent robots and systems (IROS 2003) 2:2037–2042 Nitschke G (2003) Co-evolution of cooperation in a pursuit evasion game. In: Procedings of IEEE/RSJ international conference on intelligent robots and systems (IROS 2003) 2:2037–2042
137.
Zurück zum Zitat Nojima Y, Kojima F, Kubota N (2003) Trajectory generation for human-friendly behavior of partner robot using fuzzy evaluating interactive genetic algorithm. In: Proceedings of the IEEE international symposium on computational intelligence in robotics and automation. Computational intelligence in robotics and automation for the new millennium, vol 1, pp 306–311. IEEE Nojima Y, Kojima F, Kubota N (2003) Trajectory generation for human-friendly behavior of partner robot using fuzzy evaluating interactive genetic algorithm. In: Proceedings of the IEEE international symposium on computational intelligence in robotics and automation. Computational intelligence in robotics and automation for the new millennium, vol 1, pp 306–311. IEEE
138.
Zurück zum Zitat Nolfi S (1997) Evolving non-trivial behaviors on real robots: a garbage collecting robot. Robot Auton Syst 22(3–4):187–198CrossRef Nolfi S (1997) Evolving non-trivial behaviors on real robots: a garbage collecting robot. Robot Auton Syst 22(3–4):187–198CrossRef
139.
Zurück zum Zitat Nolfi S (2011) Co-evolving predator and prey robots. Adapt Behav 20(1):10–15CrossRef Nolfi S (2011) Co-evolving predator and prey robots. Adapt Behav 20(1):10–15CrossRef
140.
Zurück zum Zitat Nolfi S, Floreano D (1998) How co-evolution can enhance the adaptive power of artificial evolution: implications for evolutionary robotics. In: Proceedings of the first European workshop on evolutionary robotics (EvoRobot98), pp 22–38 Nolfi S, Floreano D (1998) How co-evolution can enhance the adaptive power of artificial evolution: implications for evolutionary robotics. In: Proceedings of the first European workshop on evolutionary robotics (EvoRobot98), pp 22–38
141.
Zurück zum Zitat Nolfi S, Floreano D (2001) Evolutionary robotics: the biology, intelligence, and technology of self-organizing machines. Bradford Book, Cambridge Nolfi S, Floreano D (2001) Evolutionary robotics: the biology, intelligence, and technology of self-organizing machines. Bradford Book, Cambridge
142.
Zurück zum Zitat Oliveira MAC, Doncieux S, Mouret J-B, Peixoto dos Santos CM (2013) Optimization of humanoid walking controller: crossing the reality gap. In: Proceedings of the IEEE-RAS international conference on humanoid robots (Humanoids’2013) Oliveira MAC, Doncieux S, Mouret J-B, Peixoto dos Santos CM (2013) Optimization of humanoid walking controller: crossing the reality gap. In: Proceedings of the IEEE-RAS international conference on humanoid robots (Humanoids’2013)
143.
Zurück zum Zitat Oliveira MAC, Santos CP (2011) Multi-objective parameter CPG optimization for gait generation of a quadruped robot considering behavioral diversity. In: Proceedings of IEEE/RSJ international conference on intelligent robots and systems (IROS’2011), Sept 2011, pp 2286–2291. IEEE Oliveira MAC, Santos CP (2011) Multi-objective parameter CPG optimization for gait generation of a quadruped robot considering behavioral diversity. In: Proceedings of IEEE/RSJ international conference on intelligent robots and systems (IROS’2011), Sept 2011, pp 2286–2291. IEEE
144.
Zurück zum Zitat Ollion C (2013) Emergence of internal representations in evolutionary robotics: influence of multiple selective pressures. PhD thesis, Pierre and Marie Curie University Ollion C (2013) Emergence of internal representations in evolutionary robotics: influence of multiple selective pressures. PhD thesis, Pierre and Marie Curie University
145.
Zurück zum Zitat Ollion C, Doncieux S (2011) Why and how to measure exploration in behavioral space. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO11), pp 267–274 Ollion C, Doncieux S (2011) Why and how to measure exploration in behavioral space. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO11), pp 267–274
146.
Zurück zum Zitat Ollion C, Doncieux S (2012) Towards behavioral consistency in neuroevolution. In: Proceedings of the international conference on simulation of adaptive behavior (SAB12), pp 177–186 Ollion C, Doncieux S (2012) Towards behavioral consistency in neuroevolution. In: Proceedings of the international conference on simulation of adaptive behavior (SAB12), pp 177–186
147.
Zurück zum Zitat Ollion C, Pinville T, Doncieux S (2012) With a little help from selection pressures: evolution of memory in robot controllers. In: Proceedings of artificial life conference (ALife XIII), pp 407–414 Ollion C, Pinville T, Doncieux S (2012) With a little help from selection pressures: evolution of memory in robot controllers. In: Proceedings of artificial life conference (ALife XIII), pp 407–414
148.
Zurück zum Zitat Ostergaard EH, Lund HH (2003) Co-evolving complex robot behavior. From biology to hardware. In: Evolvable systems, pp 308–319 Ostergaard EH, Lund HH (2003) Co-evolving complex robot behavior. From biology to hardware. In: Evolvable systems, pp 308–319
149.
Zurück zum Zitat Oudeyer P-Y, Kaplan F, Hafner VV (2007) Intrinsic motivation systems for autonomous mental development. IEEE Trans Evol Comput 11(2):265–286CrossRef Oudeyer P-Y, Kaplan F, Hafner VV (2007) Intrinsic motivation systems for autonomous mental development. IEEE Trans Evol Comput 11(2):265–286CrossRef
150.
Zurück zum Zitat Paredis J (2000) Coevolutionary algorithms. In: Evolutionary computation, vol 2. Taylor & Francis, London, pp 224–238 Paredis J (2000) Coevolutionary algorithms. In: Evolutionary computation, vol 2. Taylor & Francis, London, pp 224–238
151.
Zurück zum Zitat Parker GB (2001) The incremental evolution of gaits for hexapod robots. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO01), pp 1114–1121 Parker GB (2001) The incremental evolution of gaits for hexapod robots. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO01), pp 1114–1121
152.
Zurück zum Zitat Pfeifer R, Bongard JC (2006) How the body shapes the way we think. MIT Press, London Pfeifer R, Bongard JC (2006) How the body shapes the way we think. MIT Press, London
153.
Zurück zum Zitat Pfeifer R, Lungarella M, Iida F (2007) Self-organization, embodiment, and biologically inspired robotics. Science 318(5853):1088–93CrossRef Pfeifer R, Lungarella M, Iida F (2007) Self-organization, embodiment, and biologically inspired robotics. Science 318(5853):1088–93CrossRef
154.
Zurück zum Zitat Pinville T, Koos S, Mouret J-B, Doncieux S (2011) How to promote generalisation in evolutionary robotics: the ProGAb approach formalising the generalisation ability. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO11), pp 259–266 Pinville T, Koos S, Mouret J-B, Doncieux S (2011) How to promote generalisation in evolutionary robotics: the ProGAb approach formalising the generalisation ability. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO11), pp 259–266
155.
Zurück zum Zitat Prokopenko M, Gerasimov V, Tanev I (2006) Evolving spatiotemporal coordination in a modular robotic system. In: Proceedings of the international conference on simulation of adaptive behavior (SAB06), pp 558–569 Prokopenko M, Gerasimov V, Tanev I (2006) Evolving spatiotemporal coordination in a modular robotic system. In: Proceedings of the international conference on simulation of adaptive behavior (SAB06), pp 558–569
156.
Zurück zum Zitat Risi S, Vanderbleek SD, Hughes CE, Stanley KO (2009) How novelty search escapes the deceptive trap of learning to learn. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO09), pp 153–160. ACM Risi S, Vanderbleek SD, Hughes CE, Stanley KO (2009) How novelty search escapes the deceptive trap of learning to learn. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO09), pp 153–160. ACM
157.
Zurück zum Zitat Roberts RM (1989) Serendipity: accidental discoveries in science. Wiley Science Editions, London Roberts RM (1989) Serendipity: accidental discoveries in science. Wiley Science Editions, London
158.
Zurück zum Zitat Sakamoto K, Zhao Q (2006) A study on generating good environment patterns for evolving robot navigators. In: Proceedings of the IEEE international conference on systems, man and cybernetics, vol 4, pp 3280–3285, Oct 2006. IEEE Sakamoto K, Zhao Q (2006) A study on generating good environment patterns for evolving robot navigators. In: Proceedings of the IEEE international conference on systems, man and cybernetics, vol 4, pp 3280–3285, Oct 2006. IEEE
159.
Zurück zum Zitat Sareni B, Krahenbuhl L (1998) Fitness sharing and niching methods revisited. IEEE Trans Evol Comput 2(3):97–106CrossRef Sareni B, Krahenbuhl L (1998) Fitness sharing and niching methods revisited. IEEE Trans Evol Comput 2(3):97–106CrossRef
160.
Zurück zum Zitat Schaul T, Sun Y, Wierstra D, Gomez F, Schmidhuber J (2011) Curiosity-driven optimization. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC2011), pp 1343–1349 Schaul T, Sun Y, Wierstra D, Gomez F, Schmidhuber J (2011) Curiosity-driven optimization. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC2011), pp 1343–1349
161.
Zurück zum Zitat Schmidt M, Lipson H (2010) Age-fitness pareto optimization. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO10), pp 543–544 Schmidt M, Lipson H (2010) Age-fitness pareto optimization. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO10), pp 543–544
162.
Zurück zum Zitat Schwefel H-P (1977) Numerische Optimierung von Computer Modellen mittels der Evolutionsstrategie. Birkhäuser, Basel Schwefel H-P (1977) Numerische Optimierung von Computer Modellen mittels der Evolutionsstrategie. Birkhäuser, Basel
163.
Zurück zum Zitat Secretan J, Beato N, D’Ambrosio DB, Rodriguez A, Campbell A, Folsom-Kovarik JT, Stanley KO (2011) Picbreeder: a case study in collaborative evolutionary exploration of design space. Evol Comput 19(3):373–403 Secretan J, Beato N, D’Ambrosio DB, Rodriguez A, Campbell A, Folsom-Kovarik JT, Stanley KO (2011) Picbreeder: a case study in collaborative evolutionary exploration of design space. Evol Comput 19(3):373–403
165.
Zurück zum Zitat Sims K (1994) Evolving virtual creatures. In: Proceedings of SIGGRAPH ’94, pp 15–22, New York, NY, USA. ACM Press Sims K (1994) Evolving virtual creatures. In: Proceedings of SIGGRAPH ’94, pp 15–22, New York, NY, USA. ACM Press
166.
Zurück zum Zitat Smith T, Husbands P, O’Shea M (2001) Neutral networks in an evolutionary robotics search space. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC2001), vol 1, pp 136–143 Smith T, Husbands P, O’Shea M (2001) Neutral networks in an evolutionary robotics search space. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC2001), vol 1, pp 136–143
167.
Zurück zum Zitat Sperati V, Trianni V, Nolfi S (2008) Evolving coordinated group behaviours through maximisation of mean mutual information. Swarm Intell 2(2–4):73–95CrossRef Sperati V, Trianni V, Nolfi S (2008) Evolving coordinated group behaviours through maximisation of mean mutual information. Swarm Intell 2(2–4):73–95CrossRef
168.
Zurück zum Zitat Sporns O, Lungarella M (2006) Evolving coordinated behavior by maximizing information structure. In: Proceedings of the Artificial Life Conference (ALIFE X), pp 323–329 Sporns O, Lungarella M (2006) Evolving coordinated behavior by maximizing information structure. In: Proceedings of the Artificial Life Conference (ALIFE X), pp 323–329
169.
Zurück zum Zitat Stanley KO, D’Ambrosio DB, Gauci J (2009) A hypercube-based indirect encoding for evolving large-scale neural networks. Artif Life 15(2):185–212CrossRef Stanley KO, D’Ambrosio DB, Gauci J (2009) A hypercube-based indirect encoding for evolving large-scale neural networks. Artif Life 15(2):185–212CrossRef
170.
Zurück zum Zitat Stanley KO, Miikkulainen R (2002) Continual coevolution through complexification. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO02), pp 113–120 Stanley KO, Miikkulainen R (2002) Continual coevolution through complexification. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO02), pp 113–120
171.
Zurück zum Zitat Stanley KO, Miikkulainen R (2002) Evolving neural networks through augmenting topologies. Evol Comput 10(2):99–127CrossRef Stanley KO, Miikkulainen R (2002) Evolving neural networks through augmenting topologies. Evol Comput 10(2):99–127CrossRef
172.
Zurück zum Zitat Stanley KO, Miikkulainen R (2004) Competitive coevolution through evolutionary complexification. J Artif Intell Res 21:63–100 Stanley KO, Miikkulainen R (2004) Competitive coevolution through evolutionary complexification. J Artif Intell Res 21:63–100
173.
Zurück zum Zitat Takagi H (2001) Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation. Proc IEEE 89(9):1275–1296CrossRef Takagi H (2001) Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation. Proc IEEE 89(9):1275–1296CrossRef
174.
Zurück zum Zitat Toffolo A, Benini E (2003) Genetic diversity as an objective in multi-objective evolutionary algorithms. Evoluti Comput 11(2):151–167CrossRef Toffolo A, Benini E (2003) Genetic diversity as an objective in multi-objective evolutionary algorithms. Evoluti Comput 11(2):151–167CrossRef
175.
Zurück zum Zitat Trujillo L, Olague G, Lutton E, De Vega FF (2008) Behavior-based speciation for evolutionary robotics. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO08), pp 297–298, New York, NY, USA. ACM Trujillo L, Olague G, Lutton E, De Vega FF (2008) Behavior-based speciation for evolutionary robotics. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO08), pp 297–298, New York, NY, USA. ACM
176.
Zurück zum Zitat Trujillo L, Olague G, Lutton E, De Vega FF (2008) Discovering several robot behaviors through speciation. In: Application of evolutionary computing: 4th European workshop on bio-inspired heuristics for design automation, pp 165–174. Springer Trujillo L, Olague G, Lutton E, De Vega FF (2008) Discovering several robot behaviors through speciation. In: Application of evolutionary computing: 4th European workshop on bio-inspired heuristics for design automation, pp 165–174. Springer
177.
Zurück zum Zitat Trujillo L, Olague G, Lutton E, Dozal L, Clemente E (2011) Speciation in behavioral space for evolutionary robotics. J Intell ZZ Robot Syst 64(3):323–351CrossRef Trujillo L, Olague G, Lutton E, Dozal L, Clemente E (2011) Speciation in behavioral space for evolutionary robotics. J Intell ZZ Robot Syst 64(3):323–351CrossRef
178.
Zurück zum Zitat Uchibe E, Nakamura M, Asada M (1999) Cooperative and competitive behavior acquisition for mobile robots through co-evolution. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO99), vol 1, pp 425–430 Uchibe E, Nakamura M, Asada M (1999) Cooperative and competitive behavior acquisition for mobile robots through co-evolution. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO99), vol 1, pp 425–430
179.
Zurück zum Zitat Urzelai J, Floreano D (1999) Incremental evolution with minimal resources. In: Proceedings of IKW99, pp 796–803 Urzelai J, Floreano D (1999) Incremental evolution with minimal resources. In: Proceedings of IKW99, pp 796–803
180.
Zurück zum Zitat Urzelai J, Floreano D, Dorigo M, Colombetti M (1998) Incremental robot shaping. Connect Sci 10(3):341–360CrossRef Urzelai J, Floreano D, Dorigo M, Colombetti M (1998) Incremental robot shaping. Connect Sci 10(3):341–360CrossRef
181.
Zurück zum Zitat Van Valen L (1973) Body size and numbers of plants and animals. Evolution 27(1):27–35CrossRef Van Valen L (1973) Body size and numbers of plants and animals. Evolution 27(1):27–35CrossRef
182.
Zurück zum Zitat Watson RA, Ficici SG, Pollack JB (2002) Embodied evolution: distributing an evolutionary algorithm in a population of robots. Robot Auton Syst 39:1–18CrossRef Watson RA, Ficici SG, Pollack JB (2002) Embodied evolution: distributing an evolutionary algorithm in a population of robots. Robot Auton Syst 39:1–18CrossRef
183.
Zurück zum Zitat Whiteson S, Kohl N, Miikkulainen R, Stone P (2005) Evolving soccer keepaway players through task decomposition. Mach Learn 59(1):5–30 Whiteson S, Kohl N, Miikkulainen R, Stone P (2005) Evolving soccer keepaway players through task decomposition. Mach Learn 59(1):5–30
184.
Zurück zum Zitat Winkeler JF, Manjunath BS (1998) Incremental evolution in genetic programming. In: Proceedings of the third annual conference on genetic programming, pp 403–411 Winkeler JF, Manjunath BS (1998) Incremental evolution in genetic programming. In: Proceedings of the third annual conference on genetic programming, pp 403–411
185.
Zurück zum Zitat Woolley BG, Stanley KO (2011) On the deleterious effects of a priori objectives on evolution and representation. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO11). ACM Press, New York, NY, USA, pp 957–964 Woolley BG, Stanley KO (2011) On the deleterious effects of a priori objectives on evolution and representation. In: Proceedings of the international conference on genetic and evolutionary computation (GECCO11). ACM Press, New York, NY, USA, pp 957–964
186.
Zurück zum Zitat Woolley BG, Stanley KO (2014) A novel human–computer collaboration: combining novelty search with interactive evolution. In: Proceedings of GECCO’2014, pp 1–8 Woolley BG, Stanley KO (2014) A novel human–computer collaboration: combining novelty search with interactive evolution. In: Proceedings of GECCO’2014, pp 1–8
187.
Zurück zum Zitat Zagal JC, Delpiano J, Ruiz-del Solar J (2009) Self-modeling in humanoid soccer robots. Robot Auton Syst 57(8):819–827CrossRef Zagal JC, Delpiano J, Ruiz-del Solar J (2009) Self-modeling in humanoid soccer robots. Robot Auton Syst 57(8):819–827CrossRef
188.
Zurück zum Zitat Zagal JC, Ruiz-del Solar J (2007) Combining simulation and reality in evolutionary robotics. J Intell Robot Syst 50(1):19–39CrossRef Zagal JC, Ruiz-del Solar J (2007) Combining simulation and reality in evolutionary robotics. J Intell Robot Syst 50(1):19–39CrossRef
189.
Zurück zum Zitat Zagal JC, Ruiz-del Solar J, Vallejos P (2004) Back to reality: crossing the reality gap in evolutionary robotics. In: Proceedings of IAV Zagal JC, Ruiz-del Solar J, Vallejos P (2004) Back to reality: crossing the reality gap in evolutionary robotics. In: Proceedings of IAV
Metadaten
Titel
Beyond black-box optimization: a review of selective pressures for evolutionary robotics
verfasst von
Stephane Doncieux
Jean-Baptiste Mouret
Publikationsdatum
01.08.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
Evolutionary Intelligence / Ausgabe 2/2014
Print ISSN: 1864-5909
Elektronische ISSN: 1864-5917
DOI
https://doi.org/10.1007/s12065-014-0110-x

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