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2014 | OriginalPaper | Chapter

Hidden Complexity of Evolutionary Dynamics: Analysis

Authors : Ivan Zelinka, Lenka Skanderova, Petr Saloun, Roman Senkerik, Michal Pluhacek

Published in: ISCS 2013: Interdisciplinary Symposium on Complex Systems

Publisher: Springer Berlin Heidelberg

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Abstract

This chapter presents a method for visualization of the dynamics of evolutionary algorithms in the form of complex networks and is continuation of our previous research. The analogy between individuals of populations in an arbitrary evolutionary algorithm and vertices of a complex network is mentioned, as well as between edges in a complex network and communication between individuals in a population. Visualization of various attributes of network based on differential algorithm is presented here.

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Literature
1.
go back to reference Zelinka I., Davendra D., Senkerik R., Jasek R., Do Evolutionary Algorithm Dynamics Create Complex Network Structures? Complex Syst. 20, 127–140 (2011). ISSN 0891–2513 Zelinka I., Davendra D., Senkerik R., Jasek R., Do Evolutionary Algorithm Dynamics Create Complex Network Structures? Complex Syst. 20, 127–140 (2011). ISSN 0891–2513
2.
go back to reference Zelinka I., Davendra D., Snasel V., Jasek R., Senkerik R., Oplatkova Z.: Preliminary investigation on relations between complex networks and evolutionary algorithms dynamics. In: CISIM 2010. Poland (2010) Zelinka I., Davendra D., Snasel V., Jasek R., Senkerik R., Oplatkova Z.: Preliminary investigation on relations between complex networks and evolutionary algorithms dynamics. In: CISIM 2010. Poland (2010)
3.
go back to reference Zelinka I., Davendra D., Chadli M., Senkerik R., Dao T.T., Skanderova, L.: Evolutionary dynamics and complex networks. In: Zelinka I, Snasel V and Abraham, A. (eds.) Handbook of Optimization. Springer Series on Intelligent Systems. Springer, Berlin (2012) Zelinka I., Davendra D., Chadli M., Senkerik R., Dao T.T., Skanderova, L.: Evolutionary dynamics and complex networks. In: Zelinka I, Snasel V and Abraham, A. (eds.) Handbook of Optimization. Springer Series on Intelligent Systems. Springer, Berlin (2012)
4.
go back to reference Dorogovtsev, S.N., Mendes, J.F.F.: Evolution of networks. Adv. Phys. 51, 1079 (2002)CrossRef Dorogovtsev, S.N., Mendes, J.F.F.: Evolution of networks. Adv. Phys. 51, 1079 (2002)CrossRef
6.
go back to reference Wasserman, S., Faust, K.: Social Network Analysis: Methods and Applications Structural Analysis in the Social Sciences. Cambridge University Press, Cambridge (1994)CrossRef Wasserman, S., Faust, K.: Social Network Analysis: Methods and Applications Structural Analysis in the Social Sciences. Cambridge University Press, Cambridge (1994)CrossRef
7.
go back to reference Eckmann, J.-P., Moses, E., Sergi, D.: Entropy of dialogues creates coherent structures in e-mail traffic. Proc. Natl. Acad. Sci. USA 101, 14333–14337 (2004)CrossRefMATHMathSciNet Eckmann, J.-P., Moses, E., Sergi, D.: Entropy of dialogues creates coherent structures in e-mail traffic. Proc. Natl. Acad. Sci. USA 101, 14333–14337 (2004)CrossRefMATHMathSciNet
8.
go back to reference Onnela, J.-P., Saramaki, J., Hyvonen, J., Szabo, G., de Menezes, A.M., Kaski, K., Barabasi, A.-L., Kertesz, J.: Analysis of large-scale weighted network of one-to-one human communication. New J. Phys. 9(7), 179 (2007) Onnela, J.-P., Saramaki, J., Hyvonen, J., Szabo, G., de Menezes, A.M., Kaski, K., Barabasi, A.-L., Kertesz, J.: Analysis of large-scale weighted network of one-to-one human communication. New J. Phys. 9(7), 179 (2007)
9.
go back to reference Lee, S.H., Kim, P.-J., Ahn, Y.-Y., Jeong, H.: Googling social interactions: web search engine based social network construction. arXiv: 0710.3268v1 (2008) Lee, S.H., Kim, P.-J., Ahn, Y.-Y., Jeong, H.: Googling social interactions: web search engine based social network construction. arXiv: 0710.3268v1 (2008)
10.
go back to reference Krause, B., et. al.: Logsonomy—social information retrieval with logdata. In: Proceedings of the 19th ACM Conference on Hypertext and Hypermedia, pp. 157–166. Pittsburgh, PA, USA (2008) Krause, B., et. al.: Logsonomy—social information retrieval with logdata. In: Proceedings of the 19th ACM Conference on Hypertext and Hypermedia, pp. 157–166. Pittsburgh, PA, USA (2008)
11.
go back to reference Caverlee, J., Webb, S.: A large-scale study of myspace: observations and implications for online social networks. In: Association for the Advancement of Artificial Intelligence (2008) Caverlee, J., Webb, S.: A large-scale study of myspace: observations and implications for online social networks. In: Association for the Advancement of Artificial Intelligence (2008)
12.
go back to reference Leskovec, J., et al.: Statistical properties of community structure in large social and information networks. In: WWW 2008, pp. 695–704. Beijing, China (2008) Leskovec, J., et al.: Statistical properties of community structure in large social and information networks. In: WWW 2008, pp. 695–704. Beijing, China (2008)
13.
go back to reference Kumar, R., Novak, J., Tomkins, A.: Structure and evolution of online social networks. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 611–617. ACM Press, Philadelphia, PA, USA (2006) Kumar, R., Novak, J., Tomkins, A.: Structure and evolution of online social networks. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 611–617. ACM Press, Philadelphia, PA, USA (2006)
14.
go back to reference Liben-Nowell, D., Kleinberg, J.: The link prediction problem for social networks. J. Am. Soc. Inf. Sci. Technol. (Wiley Periodicals) 58(7), 1019–1031 (2007) Liben-Nowell, D., Kleinberg, J.: The link prediction problem for social networks. J. Am. Soc. Inf. Sci. Technol. (Wiley Periodicals) 58(7), 1019–1031 (2007)
15.
go back to reference Gollapudi, S., Kenthapadi, K., Panigrahy, R.: Threshold phenomena in the evolution of communities in social networks. In: 17th International World Wide Web Conference (WWW2008), Workshop on Social Web Search and Mining (swsM2008) (2008) Gollapudi, S., Kenthapadi, K., Panigrahy, R.: Threshold phenomena in the evolution of communities in social networks. In: 17th International World Wide Web Conference (WWW2008), Workshop on Social Web Search and Mining (swsM2008) (2008)
16.
go back to reference Backstrom, L., Huttenlocher, D., Kleinberg, J., Lan, X.: Group formation in large social networks: membership, growth, and evolution. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 44–54. ACM Press, Philadelphia, PA, USA (2006) Backstrom, L., Huttenlocher, D., Kleinberg, J., Lan, X.: Group formation in large social networks: membership, growth, and evolution. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 44–54. ACM Press, Philadelphia, PA, USA (2006)
17.
go back to reference Cai, D., Shao, Z., He, X., Yan, X., Han, J.: Mining hidden community in heterogeneous social networks. In: Proceedings of the 3rd International Workshop on Link Discovery, pp. 58–65. ACM Press, Chicago, Illinois (2005) Cai, D., Shao, Z., He, X., Yan, X., Han, J.: Mining hidden community in heterogeneous social networks. In: Proceedings of the 3rd International Workshop on Link Discovery, pp. 58–65. ACM Press, Chicago, Illinois (2005)
18.
19.
go back to reference Richter H.: An evolutionary algorithm for controlling chaos: the use of multi-objective fitness functions. In: Guervos M., Panagiotis J.J., Beyer A., Villacanas F.H.G., Schwefel, J.L., Schwefel H.P. (eds.) Parallel Problem Solving from Nature-PPSN VII. Lecture Notes in Computer Science, vol. 2439, pp. 308–317. Springer, Berlin (2002) Richter H.: An evolutionary algorithm for controlling chaos: the use of multi-objective fitness functions. In: Guervos M., Panagiotis J.J., Beyer A., Villacanas F.H.G., Schwefel, J.L., Schwefel H.P. (eds.) Parallel Problem Solving from Nature-PPSN VII. Lecture Notes in Computer Science, vol. 2439, pp. 308–317. Springer, Berlin (2002)
20.
go back to reference Richter H., Evolutionary Optimization in Spatio- temporal Fitness Landscapes. Lecture Notes in Computer Science, NUMB 4193, pp. 1–10. Springer (2006). ISSN 0302–9743 Richter H., Evolutionary Optimization in Spatio- temporal Fitness Landscapes. Lecture Notes in Computer Science, NUMB 4193, pp. 1–10. Springer (2006). ISSN 0302–9743
21.
go back to reference Richter H.: A study of dynamic severity in chaotic fitness landscapes. Evolutionary computation, 2005. The IEEE Congress, vol. 3, issue 2–5, pp. 2824–2831 (2005) Richter H.: A study of dynamic severity in chaotic fitness landscapes. Evolutionary computation, 2005. The IEEE Congress, vol. 3, issue 2–5, pp. 2824–2831 (2005)
22.
go back to reference Zelinka, I., Chen, G., Celikovsky, S.: Chaos synthesis by means of evolutionary algorithms. Int. J. Bifurcat. Chaos Univ. Calif. Berkeley USA 18(4), 911–942 (2008)CrossRefMATHMathSciNet Zelinka, I., Chen, G., Celikovsky, S.: Chaos synthesis by means of evolutionary algorithms. Int. J. Bifurcat. Chaos Univ. Calif. Berkeley USA 18(4), 911–942 (2008)CrossRefMATHMathSciNet
24.
go back to reference Zelinka I.: Investigation on realtime deterministic chaos control by means of evolutionary algorithms. In: 1st IFAC Conference on Analysis and Control of Chaotic Systems, Reims, France (2006) Zelinka I.: Investigation on realtime deterministic chaos control by means of evolutionary algorithms. In: 1st IFAC Conference on Analysis and Control of Chaotic Systems, Reims, France (2006)
25.
go back to reference Senkerik R., Zelinka I., Navratil E.: Optimization of feedback control of chaos by evolutionary algorithms. In: 1st IFAC Conference on Analysis and Control of Chaotic Systems, Reims, France (2006) Senkerik R., Zelinka I., Navratil E.: Optimization of feedback control of chaos by evolutionary algorithms. In: 1st IFAC Conference on Analysis and Control of Chaotic Systems, Reims, France (2006)
26.
go back to reference Price, K.: An introduction to differential evolution. In: Corne, D., Dorigo, M., Glover, F. (eds.) New Ideas in Optimization, pp. 79–108. McGraw-Hill, London (1999) Price, K.: An introduction to differential evolution. In: Corne, D., Dorigo, M., Glover, F. (eds.) New Ideas in Optimization, pp. 79–108. McGraw-Hill, London (1999)
Metadata
Title
Hidden Complexity of Evolutionary Dynamics: Analysis
Authors
Ivan Zelinka
Lenka Skanderova
Petr Saloun
Roman Senkerik
Michal Pluhacek
Copyright Year
2014
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-45438-7_4

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