Skip to main content
Register
Springer Professional
SEARCH
MENU 1 2 3 4
main-content
Top

Hint

Swipe to navigate through the chapters of this book

Published in:
Adaptive and Multilevel Metaheuristics Read chapter Read first chapter

2018 | OriginalPaper | Chapter

28. Parallel Metaheuristic Search

Author: Teodor Gabriel Crainic

Published in: Handbook of Heuristics

Publisher: Springer International Publishing

Login to get access
share
SHARE

Abstract

The chapter presents a general picture of parallel meta-heuristic search for optimization. It recalls the main concepts and strategies in designing parallel meta-heuristics, pointing to a number of contributions that instantiated them for neighborhood- and population-based meta-heuristics, and identifies trends and promising research directions. The focus is on cooperation-based strategies, which display remarkable performances, in particular strategies based on asynchronous exchanges and the creation of new information out of exchanged data to enhance the global guidance of the search.
previous chapter A History of Metaheuristics
next chapter Theoretical Analysis of Stochastic Search Algorithms
Literature
1.
Aiex RM, Martins SL, Ribeiro CC, Rodriguez NR (1998) Cooperative multi-thread parallel tabu search with an application to circuit partitioning. In: Proceedings of IRREGULAR’98 – 5th international symposium on solving irregularly structured problems in parallel. Lecture notes in computer science, vol 1457. Springer, Berlin/New York, pp 310–331
2.
Alba E (ed) (2005) Parallel metaheuristics: a new class of algorithms. Wiley, Hoboken
3.
Alba E, Dorronsoro B (2004) Solving the vehicle routing problem by using cellular genetic algorithms. In: Gottlieb J, Günther RR (eds) Evolutionary computation in combinatorial optimization, 4th European conference, EvoCOP 2004, Coimbra, 5–7 Apr 2004. Lecture notes in computer science, vol 3004. Springer, Heidelberg, pp 11–20
4.
Alba E, Luque G, Nesmachnow S (2013) Parallel metaheuristics: recent advances and new trends. Int Trans Oper Res 20(1):1–48
5.
Azencott R (1992) Simulated annealing parallelization techniques. Wiley, New York
6.
Badeau P, Gendreau M, Guertin F, Potvin JY, Taillard E (1997) A parallel tabu search heuristic for the vehicle routing problem with time windows. Transp Res C: Emerg Technol 5(2): 109–122
7.
Banos R, Gil C, Ortega J, Montoya FG (2004) A parallel multilevel metaheuristic for graph partitioning. J Heuristics 10(4):315–336
8.
Banos R, Gil C, Ortega J, Montoya FG (2004) Parallel heuristic search in multilevel graph partitioning. In: Proceedings of the 12th Euromicro conference on parallel, distributed and network-based processing, A Coruña, pp 88–95
9.
Barr RS, Hickman BL (1993) Reporting computational experiments with parallel algorithms: issues, measures, and experts opinions. ORSA J Comput 5(1):2–18
10.
Bastos MP, Ribeiro CC (1999) Reactive tabu search with path-relinking for the Steiner problem in graphs. In: Voß S, Martello S, Roucairol C, Osman IH (eds) Meta-heuristics 98: theory & applications. Kluwer Academic, Norwell, pp 31–36
11.
Battiti R, Tecchiolli G (1992) Parallel based search for combinatorial optimization: genetic algorithms and TABU. Microprocessors Microsyst 16(7):351–367
12.
Berger J, Barkaoui M (2004) A parallel hybrid genetic algorithm for the vehicle routing problem with time windows. Comput Oper Res 31(12):2037–2053
13.
Blazewicz J, Moret-Salvador A, Walkowiak R (2004) Parallel tabu search approaches for two-dimensional cutting. Parallel Process Lett 14(1):23–32
14.
Bock S, Rosenberg O (2000) A new parallel breadth first tabu search technique for solving production planning problems. Int Trans Oper Res 7(6):625–635
15.
Bortfeldt A, Gehring H, Mack D (2003) A parallel tabu search algorithm for solving the container loading problem. Parallel Comput 29:641–662
16.
Brodtkorb AR, Hagen TR, Schulz C, Hasle G (2013) GPU computing in discrete optimization. Part I: introduction to the GPU. EURO J Transp Logist 2(1–2):129–157
17.
Brodtkorb AR, Hagen TR, Schulz C, Hasle G (2013) GPU computing in discrete optimization. Part II: survey focussed on routing problems. EURO J Transp Logist 2(1–2):159–186
18.
19.
Calégari P, Guidec F, Kuonen P, Kuonen D (1997) Parallel Island-based genetic algorithm for radio network design. J Parallel Distrib Comput 47(1):86–90
20.
Cantú-Paz E (1998) A survey of parallel genetic algorithms. Calculateurs Parallèles, Réseaux et Systèmes répartis 10(2):141–170
21.
Cantú-Paz E (2005) Theory of parallel genetic algorithms. In: Alba E (ed) Parralel metaheuristics: a new class of algorithms. Wiley, Hoboken, pp 425–445
22.
Cavalcante CBC, Cavalcante VF, Ribeiro CC, Souza MC (2002) Parallel cooperative approaches for the labor constrained scheduling problem. In: Ribeiro C, Hansen P (eds) Essays and surveys in metaheuristics. Kluwer Academic, Norwell, pp 201–225
23.
Chakrapani J, Skorin-Kapov J (1992) A connectionist approach to the quadratic assignment problem. Comput Oper Res 19(3/4):287–295
24.
Chakrapani J, Skorin-Kapov J (1993) Connection machine implementation of a tabu search algorithm for the traveling salesman problem. J Comput Inf Technol 1(1):29–36
25.
Chakrapani J, Skorin-Kapov J (1993) Massively parallel tabu search for the quadratic assignment problem. Ann Oper Res 41:327–341
26.
Chao IM, Golden B L, Wasil EA (1995) An improved heuristic for the period vehicle routing problem. Networks 26(1):25–44
27.
Cohoon J, Hedge S, Martin W, Richards D (1987) Punctuated equilibria: a parallel genetic algorithm. In: Grefenstette J (ed) Proceedings of the second international conference on genetic algorithms and their applications. Lawrence Erlbaum Associates, Hillsdale, pp 148–154
28.
Cohoon J, Hedge S, Richards D (1991) Genetic algorithm and punctuated equilibria in VLSI. In: Schwefel H-P, Männer R (eds) Parallel problem solving from nature. Lecture notes in computer science, vol 496. Springer, Berlin, pp 134–144
29.
Cohoon J, Hedge S, Richards D (1991) A multi-population genetic algorithm for solving the k-partition problem on hyper-cubes. In: Belew R, Booker L (eds) Proceedings of the fourth international conference on genetic algorithms. Morgan Kaufmann, San Mateo, pp 134–144
30.
Cordeau JF, Maischberger M (2012) A parallel iterated tabu search heuristic for vehicle routing problems. Comput Oper Res 39(9):2033–2050
31.
Cordeau JF, Laporte G, Mercier A (2001) A unified tabu search heuristic for vehicle routing problems with time windows. J Oper Res Soc 52:928–936
32.
Crainic TG (2005) Parallel computation, co-operation, tabu search. In: Rego C, Alidaee B (eds) Metaheuristic optimization via memory and evolution: tabu search and scatter search. Kluwer Academic, Norwell, pp 283–302
33.
Crainic TG (2008) Parallel solution methods for vehicle routing problems. In: Golden BL, Raghavan S, Wasil EA (eds) The vehicle routing problem: latest advances and new challenges. Springer, New York, pp 171–198
34.
Crainic TG, Gendreau M (1999) Towards an evolutionary method – cooperating multi-thread parallel tabu search hybrid. In: Voß S, Martello S, Roucairol C, Osman IH (eds) Meta-heuristics 98: theory & applications. Kluwer Academic, Norwell, pp 331–344
35.
Crainic TG, Gendreau M (2002) Cooperative parallel tabu search for capacitated network design. J Heuristics 8(6):601–627
36.
Crainic TG, Hail N (2005) Parallel meta-heuristics applications. In: Alba E (ed) Parallel metaheuristics: a new class of algorithms. Wiley, Hoboken, pp 447–494
37.
Crainic TG, Toulouse M (1998) Parallel metaheuristics. In: Crainic TG, Laporte G (eds) Fleet management and logistics. Kluwer Academic, Norwell, pp 205–251
38.
Crainic TG, Toulouse M (2003) Parallel strategies for meta-heuristics. In: Glover F, Kochenberger G (eds) Handbook in metaheuristics. Kluwer Academic, Norwell, pp 475–513
39.
Crainic TG, Toulouse M (2008) Explicit and emergent cooperation schemes for search algorithms. In: Maniezzo V, Battiti R, Watson J-P (eds) Learning and intelligent optimization. Lecture notes in computer science, vol 5315. Springer, Berlin, pp 95–109
40.
Crainic TG, Toulouse M (2010) Parallel meta-heuristics. In: Gendreau M, Potvin J-Y (eds) Handbook of metaheuristics, 2nd edn. Springer, New York, pp 497–541
41.
Crainic TG, Toulouse M, Gendreau M (1995) Synchronous tabu search parallelization strategies for multicommodity location-allocation with balancing requirements. OR Spektrum 17(2/3):113–123
42.
Crainic TG, Toulouse M, Gendreau M (1996) Parallel asynchronous tabu search for multicommodity location-allocation with balancing requirements. Ann Oper Res 63:277–299
43.
Crainic TG, Toulouse M, Gendreau M (1997) Towards a taxonomy of parallel tabu search algorithms. INFORMS J Comput 9(1):61–72
44.
Crainic TG, Gendreau M, Hansen P, Mladenović N (2004) Cooperative parallel variable neighborhood search for the p-median. J Heuristics 10(3):293–314
45.
Crainic TG, Gendreau M, Potvin JY (2005) Parallel tabu search. In: Alba E (ed) Parallel metaheuristics. Wiley, Hoboken, pp 298–313
46.
Crainic TG, Di Chiara B, Nonato M, Tarricone L (2006) Tackling electrosmog in completely configured 3G networks by parallel cooperative meta-heuristics. IEEE Wirel Commun 13(6):34–41
47.
Crainic TG, Li Y, Toulouse M (2006) A first multilevel cooperative algorithm for the capacitated multicommodity network design. Comput Oper Res 33(9):2602–2622
48.
Crainic TG, Crisan GC, Gendreau M, Lahrichi N, Rei W (2009) A concurrent evolutionary approach for cooperative rich combinatorial optimization. In: Genetic and evolutionary computation conference – GECCO 2009, Montréal, 8–12 July. ACM, cD-ROM
49.
Crainic TG, Crisan GC, Gendreau M, Lahrichi N, Rei W (2009) Multi-thread integrative cooperative optimization for rich combinatorial problems. In: The 12th international workshop on nature inspired distributed computing – NIDISC’09, 25–29 May, Rome, cD-ROM
50.
Crainic TG, Davidović T, Ramljak D (2014) Designing parallel meta-heuristic methods. In: Despotovic-Zrakic M, Milutinovic V, Belic A (eds) High performance and cloud computing in scientific research and education. IGI Global, Hershey, pp 260–280
51.
Cung VD, Martins SL, Ribeiro CC, Roucairol C (2002) Strategies for the parallel implementations of metaheuristics. In: Ribeiro C, Hansen P (eds) Essays and surveys in metaheuristics. Kluwer Academic, Norwell, pp 263–308
52.
Czech ZJ (2000) A parallel genetic algorithm for the set partitioning problem. In: 8th Euromicro workshop on parallel and distributed processing, Rhodos, pp 343–350
53.
Dai C, Li B, Toulouse M (2009) A multilevel cooperative tabu search algorithm for the covering design problem. J Comb Math Comb Comput 68:35–65
54.
Davidović T, Crainic TG (2015) Parallel local search to schedule communicating tasks on identical processors. Parallel Comput 48:1–14
55.
De Falco I, Del Balio R, Tarantino E, Vaccaro R (1994) Improving search by incorporating evolution principles in parallel tabu search. In: Proceedings international conference on machine learning, New Brunswick, pp 823–828
56.
De Falco I, Del Balio R, Tarantino E (1995) Solving the mapping problem by parallel tabu search. Report, Istituto per la Ricerca sui Sistemi Informatici Paralleli-CNR
57.
Di Chiara B (2006) Optimum planning of 3G cellular systems: radio propagation models and cooperative parallel meta-heuristics. PhD thesis, Dipartimento di ingegneria dell’innovatione, Universitá degli Studi di Lecce, Lecce
58.
Diekmann R, Lüling R, Monien B, Spräner C (1996) Combining helpful sets and parallel simulated annealing for the graph-partitioning problem. Int J Parallel Program 8:61–84
59.
Doerner K, Hartl RF, Kiechle G, Lucka M, Reimann M (2004) Parallel ant systems for the capacitated vehicle routing problem. In: Gottlieb J, Raidl GR (eds) Evolutionary computation in combinatorial optimization: 4th European conference, EvoCOP 2004. Lecture notes in computer science, vol 3004. Springer, Berlin, pp 72–83
60.
Doerner KF, Hartl RF, Lucka M (2005) A parallel version of the D-ant algorithm for the vehicle routing problem. In: Vajtersic M, Trobec R, Zinterhof P, Uhl A (eds) Parallel numerics’05. Springer, New York, pp 109–118
61.
Doerner KF, Hartl RF, Benkner S, Lucka M (2006) Cooperative savings based ant colony optimization – multiple search and decomposition approaches. Parallel Process Lett 16(3):351–369
62.
Dorigo M, Stuetzle T (2003) The ant colony metaheuristic. Algorithms, applications, and advances. In: F Glover, G Kochenberger (eds) Handbook in metaheuristics. Kluwer Academic, Norwell, pp 251–285
63.
64.
Drias H, Ibri A (2003) Parallel ACS for weighted MAX-SAT. In: Mira J, Álvarez J (eds) Artificial neural nets problem solving methods – proceedings of the 7th international work-conference on artificial and natural neural networks. Lecture notes in computer science, vol 2686. Springer, Heidelberg, pp 414–421
65.
El Hachemi N, Crainic TG, Lahrichi N, Rei W, Vidal T (2014) Solution integration in combinatorial optimization with applications to cooperative search and rich vehicle routing. Publication CIRRELT-2014-40, Centre interuniversitaire de recherche sur les réseaux d’entreprise, la logistique et le transport, Université de Montréal, Montréal
66.
Fiechter CN (1994) A parallel tabu search algorithm for large travelling salesman problems. Discrete Appl Math 51(3):243–267
67.
Flores CD, Cegla BB, Caceres DB (2003) Telecommunication network design with parallel multi-objective evolutionary algorithms. In: IFIP/ACM Latin America networking conference 2003, La Paz
68.
Folino G, Pizzuti C, Spezzano G (1998) Combining cellular genetic algorithms and local search for solving satisfiability problems. In: Proceedings of the tenth IEEE international conference on tools with artificial intelligence. IEEE Computer Society Press, Piscataway, pp 192–198
69.
Folino G, Pizzuti C, Spezzano G (1998) Solving the satisfiability problem by a parallel cellular genetic algorithm. In: Proceedings of the 24th EUROMICRO conference. IEEE Computer Society Press, Los Alamitos, pp 715–722
70.
Garcia BL, Potvin JY, Rousseau JM (1994) A parallel implementation of the tabu search heuristic for vehicle routing problems with time window constraints. Comput Oper Res 21(9):1025–1033
71.
García-López F, Melián-Batista B, Moreno-Pérez JA, Moreno-Vega JM (2002) The parallel variable neighborhood search for the p-median problem. J Heuristics 8(3):375–388
72.
García-López F, Melián-Batista B, Moreno-Pérez JA, Moreno-Vega JM (2003) Parallelization of the scatter search for the p-median problem. Parallel Comput 29:575–589
73.
García-López F, García Torres M, Melián-Batista B, Moreno-Pérez JA, Moreno-Vega JM (2005) Parallel scatter search. In: Alba E (ed) Parallel metaheuristics: a new class of metaheuristics. Wiley, Hoboken, pp 223–246
74.
García-López F, García Torres M, Melián-Batista B, Moreno-Pérez JA, Moreno-Vega JM (2006) Solving feature subset selection problem by a parallel scatter search. Eur J Oper Res 169:477–489
75.
Gehring H, Homberger J (1997) A parallel hybrid evolutionary metaheuristic for the vehicle routing problem with time windows. In: Miettinen K, M akel]:a M, Toivanen J (eds) Proceedings of EUROGEN99 – short course on evolutionary algorithms in engineering and computer science, Jyvskyla, pp 57–64
76.
Gehring H, Homberger J (2001) A parallel two-phase metaheuristic for routing problems with time windows. Asia-Pac J Oper Res 18(1):35–47
77.
Gehring H, Homberger J (2002) Parallelization of a two-phase metaheuristic for routing problems with time windows. J Heuristics 8:251–276
78.
Gendreau M, Hertz A, Laporte G (1994) A tabu search heuristic for the vehicle routing problem. Manag Sci 40:1276–1290
79.
Gendreau M, Guertin F, Potvin JY, Taillard ÉD (1999) Tabu search for real-time vehicle routing and dispatching. Transp Sci 33(4):381–390
80.
Gendreau M, Laporte G, Semet F (2001) A dynamic model and parallel tabu search heuristic for real-time ambulance relocation. Parallel Comput 27(12):1641–1653
81.
Glover F (1996) Tabu search and adaptive memory programming – advances, applications and challenges. In: Barr R, Helgason R, Kennington J (eds) Interfaces in computer science and operations research. Kluwer Academic, Norwell, pp 1–75
82.
Glover F, Laguna M (1997) Tabu search. Kluwer Academic, Norwell,
83.
Golden B L, Wasil EA, Kelly JP, Chao IM (1998) Metaheuristics in vehicle routing. In: Crainic T, Laporte G (eds) Fleet management and logistics. Kluwer Academic, Norwell, pp 33–56
84.
Greening DR (1989) A taxonomy of parallel simulated annealing techniques. Technical report No. RC 14884, IBM
85.
Greening DR (1990) Asynchronous parallel simulated annealing. Lect Complex Syst 3:497–505
86.
Greening DR (1990) Parallel simulated annealing techniques. Physica D 42:293–306
87.
Groër C, Golden B (2011) A parallel algorithm for the vehicle routing problem. INFORMS J Comput 23(2):315–330
88.
Herdy M (1992) Reproductive isolation as strategy parameter in hierarchical organized evolution strategies. In: Männer R, Manderick B (eds) Parallel problem solving from nature, 2. North-Holland, Amsterdam, pp 207–217
89.
Hidalgo JI, Prieto M, Lanchares J, Baraglia R, Tirado F, Garnica O (2003) Hybrid parallelization of a compact genetic algorithm. In: Proceedings of the 11th Euromicro conference on parallel, distributed and network-based processing, Genova, pp 449–455
90.
Holmqvist K, Migdalas A, Pardalos PM (1997) Parallelized heuristics for combinatorial search. In: Migdalas A, Pardalos P, Storoy S (eds) Parallel computing in optimization. Kluwer Academic, Norwell, pp 269–294
91.
Homberger J, Gehring H (1999) Two evolutionary metaheuristics for the vehicle routing problem with time windows. INFOR 37:297–318
92.
Janson S, Merkle D, Middendorf M (2005) Parallel ant colony algorithms. In: Alba E (ed) Parallel metaheuristics: a new class of metaheuristics. Wiley, Hoboken, pp 171–201
93.
Jin J, Crainic TG, Løkketangen A (2012) A parallel multi-neighborhood cooperative tabu search for capacitated vehicle routing problems. Eur J Oper Res 222(3):441–451
94.
Jin J, Crainic TG, Løkketangen A (2014) A cooperative parallel metaheuristic for the capacitated vehicle routing problems. Comput Oper Res 44:33–41
95.
Laganière R, Mitiche A (1995) Parallel tabu search for robust image filtering. In: Proceedings of IEEE workshop on nonlinear signal and image processing (NSIP’95), Neos Marmaras, vol 2, pp 603–605
96.
Lahrichi N, Crainic TG, Gendreau M, Rei W, Crisan CC, Vidal T (2015) An integrative cooperative search framework for multi-decision-attribute combinatorial optimization. Eur J Oper Res 246(2):400–412
97.
Laursen PS (1996) Parallel heuristic search – introductions and a new approach. In: Ferreira A, Pardalos P (eds) Solving combinatorial optimization problems in parallel. Lecture notes in computer science, vol 1054. Springer, Berlin, pp 248–274
98.
Le Bouthillier A (2007) Recherches coopératives pour la résolution de problèmes d’optimisation combinatoire. PhD thesis, Département d’informatique et de recherche opérationnelle, Université de Montréal, Montréal
99.
Le Bouthillier A, Crainic TG (2005) A cooperative parallel meta-heuristic for the vehicle routing problem with time windows. Comput Oper Res 32(7):1685–1708
100.
Le Bouthillier A, Crainic TG, Kropf P (2005) A guided cooperative search for the vehicle routing problem with time windows. IEEE Intell Syst 20(4):36–42
101.
Lee KG, Lee SY (1992) Efficient parallelization of simulated annealing using multiple Markov chains: an application to graph partitioning. In: Mudge TN (ed) Proceedings of the international conference on parallel processing. Algorithms and applications, vol III. CRC Press, Boca Raton, pp 177–180
102.
Lee SY, Lee KG (1992) Asynchronous communication of multiple Markov chains in parallel simulated annealing. In: Mudge TN (ed) Proceedings of the international conference on parallel processing. Algorithms and applications, vol III. CRC Press, Boca Raton, pp 169–176
103.
Lee KG, Lee SY (1995) Synchronous and asynchronous parallel simulated annealing with multiple Markov chains. In: Brandenburg F (ed) Graph drawing – proceedings GD ’95, symposium on graph drawing, Passau. Lecture notes in computer science, vol 1027. Springer, Berlin, pp 396–408
104.
Lee SY, Lee KG (1996) Synchronous and asynchronous parallel simulated annealing with multiple Markov chains. IEEE Trans Parallel Distrib Syst 7(10):993–1007
105.
Li Y, Pardalos PM, Resende MGC (1994) A greedy randomized adaptive search procedure for quadratic assignment problem. In: DIMACS implementation challenge. DIMACS series on discrete mathematics and theoretical computer science, vol 16. American Mathematical Society, pp 237–261
106.
Li F, Golden B L, Wasil EA (2005) A very large-scale vehicle routing: new test problems, algorithms, and results. Comput Oper Res 32(5):1165–1179
107.
Lin SC, Punch WF, Goodman ED (1994) Coarse-grain parallel genetic algorithms: categorization and new approach. In: Sixth IEEE symposium on parallel and distributed processing. IEEE Computer Society Press, Los Alamitos, pp 28–37
108.
Luque G, Alba E, Dorronsoro B (2005) Parallel genetic algorithms. In: Alba E (ed) Parralel metaheuristics: a new class of algorithms. Wiley, Hoboken, pp 107–125
109.
Malek M, Guruswamy M, Pandya M, Owens H (1989) Serial and parallel simulated annealing and tabu search algorithms for the traveling salesman problem. Ann Oper Res 21:59–84
110.
Martins SL, Ribeiro CC, Souza MC (1998) A parallel GRASP for the Steiner problem in graphs. In: Ferreira A, Rolim J (eds) Proceedings of IRREGULAR’98 – 5th international symposium on solving irregularly structured problems in parallel. Lecture notes in computer science, vol 1457. Springer, Berlin/New York, pp 285–297
111.
Martins SL, Resende MGC, Ribeiro CC, Parlados PM (2000) A parallel grasp for the Steiner tree problem in graphs using a hybrid local search strategy. J Glob Optim 17:267–283
112.
Michels R, Middendorf M (1999) An ant system for the shortest common supersequence problem. In: Corne D, Dorigo M, Glover F (eds) New ideas in optimization. McGraw-Hill, London, pp 51–61
113.
Middendorf M, Reischle F, Schmeck H (2002) Multi colony ant algorithms. J Heuristics 8(3):305–320. doihttp://​dx.​doi.​org/​10.​1023/​A:1015057701750
114.
Miki M, Hiroyasu T, Wako J, Yoshida T (2003) Adaptive temperature schedule determined by genetic algorithm for parallel simulated annealing. In: CEC’03 – the 2003 congress on evolutionary computation, Canberra, vol 1, pp 459–466
115.
Mingozzi A (2005) The multi-depot periodic vehicle routing problem. In: Abstraction, reformulation and approximation. Lecture notes in computer science. Springer, Berlin/Heidelberg, pp 347–350
116.
Moreno-Pérez JA, Hansen P, Mladenović N (2005) Parallel variable neighborhood search. In: Alba E (ed) Parallel metaheuristics: a new class of metaheuristics. Wiley, Hoboken, pp 247–266
117.
Mühlenbein H (1989) Parallel genetic algorithms, population genetics and combinatorial optimization. In: Schaffer J (ed) Proceedings of the third international conference on genetic algorithms. Morgan Kaufmann, San Mateo, pp 416–421
118.
Mühlenbein H (1991) Parallel genetic algorithms, population genetics, and combinatorial optimization. In: Becker JD, Eisele I, Mündemann FW (eds) Parallelism, learning, evolution. Workshop on evolutionary models and strategies – WOPPLOT 89. Springer, Berlin, pp 398–406
119.
Mühlenbein H (1992) Parallel genetic algorithms in combinatorial optimization. In: Balci O, Sharda R, Zenios S (eds) Computer science and operations research: new developments in their interface. Pergamon Press, New York, pp 441–456
120.
Niar S, Fréville A (1997) A parallel tabu search algorithm for the 0–1 multidimensional knapsack problem. In: 11th international parallel processing symposium (IPPS ’97), Geneva. IEEE, pp 512–516
121.
Oduntan I, Toulouse M, Baumgartner R, Bowman C, Somorjai R, Crainic TG (2008) A multilevel tabu search algorithm for the feature selection problem in biomedical data sets. Comput Math Appl 55(5):1019–1033
122.
Ouyang M, Toulouse M, Thulasiraman K, Glover F, Deogun JS (2000) Multi-level cooperative search: application to the netlist/hypergraph partitioning problem. In: Proceedings of international symposium on physical design. ACM, New York, pp 192–198
123.
Ouyang M, Toulouse M, Thulasiraman K, Glover F, Deogun JS (2002) Multilevel cooperative search for the circuit/hypergraph partitioning problem. IEEE Trans Comput-Aided Des 21(6):685–693
124.
Pardalos PM, Li Y, KA M (1992) Computational experience with parallel algorithms for solving the quadratic assignment problem. In: Balci O, Sharda R, Zenios S (eds) Computer science and operations research: new developments in their interface. Pergamon Press, New York, pp 267–278
125.
Pardalos PM, Pitsoulis L, Mavridou T, Resende MGC (1995) Parallel search for combinatorial optimization: genetic algorithms, simulated annealing, tabu search and GRASP. In: Ferreira A, Rolim J (eds) Proceedings of workshop on parallel algorithms for irregularly structured problems. Lecture notes in computer science, vol 980. Springer, Berlin, pp 317–331
126.
Pardalos PM, Pitsoulis L, Resende MGC (1995) A parallel GRASP implementation for the quadratic assignment problem. In: Ferreira A, Rolim J (eds) Solving irregular problems in parallel: state of the art. Kluwer Academic, Norwell, pp 115–130
127.
Polacek M, Benkner S, Doerner KF, Hartl RF (2008) A cooperative and adaptive variable neighborhood search for the multi depot vehicle routing problem with time windows. Bus Res 1(2):1–12
128.
Porto SCS, Ribeiro CC (1995) A tabu search approach to task scheduling on heteregenous processors under precedence constraints. Int J High-Speed Comput 7:45–71
129.
Porto SCS, Ribeiro CC (1996) Parallel tabu search message-passing synchronous strategies for task scheduling under precedence constraints. J Heuristics 1(2):207–223
130.
Porto SCS, Kitajima JPFW, Ribeiro CC (2000) Performance evaluation of a parallel tabu search task scheduling algorithm. Parallel Comput 26:73–90
131.
Rahimi Vahed A, Crainic TG, Gendreau M, Rei W (2013) A path relinking algorithm for a multi-depot periodic vehicle routing problem. J Heuristics 19(3):497–524
132.
Rahoual M, Hadji R, Bachelet V (2002) Parallel ant system for the set covering problem. In: Dorigo M, Di Caro G, Sampels M (eds) Ant algorithms – proceedings of the third international workshop, ANTS 2002. Lecture notes in computer science, vol 2463. Springer, Berlin, pp 262–267
133.
Ram DJ, Sreenivas TH, Subramaniam KG (1996) Parallel simulated annealing algorithms. J Parallel Distrib Comput 37:207–212
134.
Randall M, Lewis A (2002) A parallel implementation of ant colony optimisation. J Parallel Distrib Comput 62:1421–1432
135.
Rego C (2001) Node ejection chains for the vehicle routing problem: sequential and parallel algorithms. Parallel Comput 27:201–222
136.
Rego C, Roucairol C (1996) A parallel tabu search algorithm using ejection chains for the VRP. In: Osman I, Kelly J (eds) Meta-heuristics: theory & applications. Kluwer Academic, Norwell, pp 253–295
137.
Reimann M, Stummer M, Doerner K (2002) A savings based ants system for the vehicle routing problem. In: Langton C, Cantú-Paz E, Mathias KE, Roy R, Davis L, Poli R, Balakrishnan K, Honavar V, Rudolph G, Wegener J, Bull L, Potter MA, Schultz AC, Miller JF, Burke EK, Jonoska N (eds) GECCO 2002: proceedings of the genetic and evolutionary computation conference, New York, 9–13 July 2002. Morgan Kaufmann, San Francisco, pp 1317–1326
138.
Reimann M, Doerner K, Hartl R (2004) D-ants: savings based ants divide and conquer the vehicle routing problem. Comput Oper Res 31(4):563–591
139.
Ribeiro CC, Rosseti I (2002) A parallel GRASP heuristic for the 2-path network design problem. 4 journée ROADEF, Paris, 20–22 Feb
140.
Ribeiro CC, Rosseti I (2002) A parallel GRASP heuristic for the 2-path network design problem. Third meeting of the PAREO Euro working group, Guadeloupe, May
141.
Ribeiro CC, Rosseti I (2002) Parallel grasp with path-relinking heuristic for the 2-path network design problem. In: AIRO’2002, L’Aquila, Sept
142.
Rochat Y, Taillard ED (1995) Probabilistic diversification and intensification in local search for vehicle routing. J Heuristics 1(1):147–167 CrossRef
143.
Sanvicente-Sánchez H, Frausto-Solís J (2002) MPSA: a methodology to parallelize simulated annealing and its application to the traveling salesman problem. In: Coello Coello C, de Albornoz A, Sucar L, Battistutti O (eds) MICAI 2002: advances in artificial intelligence. Lecture notes in computer science, vol 2313. Springer, Heidelberg, pp 89–97 CrossRef
144.
Schlierkamp-Voosen D, Mühlenbein H (1994) Strategy adaptation by competing subpopulations. In: Davidor Y, Schwefel H-P, Männer R (eds) Parallel problem solving from nature III. Lecture notes in computer science, vol 866. Springer, Berlin, pp 199–208 CrossRef
145.
Schulze J, Fahle T (1999) A parallel algorithm for the vehicle routing problem with time window constraints. Ann Oper Res 86:585–607 MathSciNetCrossRef
146.
Sevkli M, Aydin ME (2007) Parallel variable neighbourhood search algorithms for job shop scheduling problems. IMA J Manag Math 18(2):117–133 MathSciNetCrossRef
147.
Shonkwiler R (1993) Parallel genetic algorithms. In: Forrest S (ed) Proceedings of the fifth international conference on genetic algorithms. Morgan Kaufmann, San Mateo, pp 199–205
148.
Solar M, Parada V, Urrutia R (2002) A parallel genetic algorithm to solve the set-covering problem. Comput Oper Res 29(9):1221–1235 MathSciNetCrossRef
149.
Stutzle T (1998) Parallelization strategies for ant colony optimization. In: Eiben AE, Back T, Schoenauer M, Schwefel H-P (eds) Proceedings of parallel problem solving from nature V. Lecture notes in computer science, vol 1498. Springer, Heidelberg, pp 722–731 CrossRef
150.
151.
Taillard ÉD (1993) Parallel iterative search methods for vehicle routing problems. Networks 23:661–673 CrossRef
152.
Taillard ÉD (1994) Parallel taboo search techniques for the job shop scheduling problem. ORSA J Comput 6(2):108–117 CrossRef
153.
Taillard ÉD, Gambardella LM, Gendreau M, Potvin JY (1997) Adaptive memory programming: a unified view of metaheuristics. Eur J Oper Res 135:1–10 MathSciNetCrossRef
154.
Taillard ÉD, Gambardella LM, Gendreau M, Potvin JY (1998) Programmation à mémoire adaptative. Calculateurs Parallèles, Réseaux et Systèmes répartis 10:117–140
155.
Talbi EG (ed) (2006) Parallel combinatorial optimization. Wiley, Hoboken
156.
157.
Talbi EG, Roux O, Fonlupt C, Robillard D (1999) Parallel ant colonies for combinatorial optimization problems. In: Rolim J et al (ed) 11th IPPS/SPDP’99 workshops held in conjunction with the 13th international parallel processing symposium and 10th symposium on parallel and distributed processing, San Juan, 12–16 Apr. Lecture notes in computer science, vol 1586. Springer, Berlin, pp 239–247
158.
Talukdar S, Baerentzen L, Gove A, de Souza P (1998) Asynchronous teams: cooperation schemes for autonomous agents. J Heuristics 4:295–321 CrossRef
159.
Talukdar S, Murthy S, Akkiraju R (2003) Assynchronous teams. In: Glover F, Kochenberger G (eds) Handbook in metaheuristics. Kluwer Academic, Norwell, pp 537–556 CrossRef
160.
ten Eikelder HMM, Aarts BJL, Verhoeven MGA, Aarts EHL (1999) Sequential and parallel local search for job shop scheduling. In: Voß S, Martello S, Roucairol C, Osman IH (eds) Meta-heuristics 98: theory & applications. Kluwer Academic, Norwell, pp 359–371
161.
Tongcheng G, Chundi M (2002) Radio network design using coarse-grained parallel genetic algorithms with different neighbor topology. In: Proceedings of the 4th world congress on intelligent control and automation, Shanghai, vol 3, pp 1840–1843
162.
Toulouse M, Crainic TG, Gendreau M (1996) Communication issues in designing cooperative multi thread parallel searches. In: Osman IH, Kelly JP (eds) Meta-heuristics: theory & applications. Kluwer Academic, Norwell, pp 501–522
163.
Toulouse M, Crainic TG, Sansó B, Thulasiraman K (1998) Self-organization in cooperative search algorithms. In: Proceedings of the 1998 IEEE international conference on systems, man, and cybernetics. Omnipress, Madisson, pp 2379–2385
164.
Toulouse M, Crainic TG, Sansó B (1999) An experimental study of systemic behavior of cooperative search algorithms. In: Voß S, Martello S, Roucairol C, Osman IH (eds) Meta-heuristics 98: theory & applications. Kluwer Academic, Norwell, pp 373–392
165.
Toulouse M, Thulasiraman K, Glover F (1999) Multi-level cooperative search: a new paradigm for combinatorial optimization and an application to graph partitioning. In: Amestoy P, Berger P, Daydé M, Duff I, Frayssé V, Giraud L, Ruiz D (eds) 5th international Euro-par parallel processing conference. Lecture notes in computer science, vol 1685. Springer, Heidelberg, pp 533–542 CrossRef
166.
Toulouse M, Crainic TG, Thulasiraman K (2000) Global optimization properties of parallel cooperative search algorithms: a simulation study. Parallel Comput 26(1):91–112 CrossRef
167.
Toulouse M, Crainic TG, Sansó B (2004) Systemic behavior of cooperative search algorithms. Parallel Comput 30(1):57–79 MathSciNetCrossRef
168.
Verhoeven MGA, Aarts EHL (1995) Parallel local search. J Heuristics 1(1):43–65 CrossRef
169.
Vidal T, Crainic TG, Gendreau M, Lahrichi N, Rei W (2012) A hybrid genetic algorithm for multi-depot and periodic vehicle routing problems. Oper Res 60(3):611–624 MathSciNetCrossRef
170.
Voß S (1993) Tabu search: applications and prospects. In: Du DZ, Pardalos P (eds) Network optimization problems. World Scientific, Singapore, pp 333–353
171.
Wilkerson R, Nemer-Preece N (1998) Parallel genetic algorithm to solve the satisfiability problem. In: Proceedings of the 1998 ACM symposium on applied computing. ACM, New York, pp 23–28
Metadata
Title
Parallel Metaheuristic Search
Author
Teodor Gabriel Crainic
Copyright Year
2018
Book
Handbook of Heuristics

Print ISBN: 978-3-319-07123-7

Electronic ISBN: 978-3-319-07124-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-07124-4_40

Premium Partner

Neuer Inhalt
    Image Credits

    Version: 0.2067.0