Abstract
Cooperation as a problem-solving strategy is a widely used approach to solving complex hard optimization problems. It involves a set of highly autonomous programs (agents), each implementing a particular solution method, and a cooperation scheme combining these autonomous programs into a single problem-solving strategy. It is expected that such a collective of agents can produce better solutions than any individual members of such collective. The main goal of the paper is to propose a new population-based cooperative search approach for solving the Vehicle Routing Problem. It uses a set of search procedures, which attempt to improve solutions stored in a common, central memory. Access to a single common memory allows exploitation by one procedure solutions obtained by another procedure in order to guide the search through a new promising region of the search space, thus increasing chances for reaching the global optimum.
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References
Barbucha, D., Czarnowski, I., Jędrzejowicz, P., Ratajczak-Ropel, E., Wierzbowska, I.: JABAT Middleware as a Tool for Solving Optimization Problems. In: Nguyen, N.T., Kowalczyk, R. (eds.) Transactions on CCI II. LNCS, vol. 6450, pp. 181–195. Springer, Heidelberg (2010)
Barbucha, D.: Experimental Study of the Population Parameters Settings in Cooperative Multi-Agent System Solving Instances of the VRP. Submitted to LNCS Transactions on Computational Collective Intelligence (2012)
Blum, C., Roli, A.: Metaheuristics in Combinatorial Optimization: Overview and Conceptual Comparison. ACM Computing Surveys 35(3), 268–308 (2003)
Crainic, T.G., Toulouse, M.: Explicit and Emergent Cooperation Schemes for Search Algorithms. In: Maniezzo, V., Battiti, R., Watson, J.-P. (eds.) LION 2007 II. LNCS, vol. 5313, pp. 95–109. Springer, Heidelberg (2008)
Crainic, T.G., Toulouse, M.: Parallel Meta-heuristics. In: Gendreau, M., Potvin, J.-Y. (eds.) Handbook of Metaheuristics. International Series in Operations Research and Management Science, vol. 146, pp. 497–541. Springer, Heidelberg (2010)
Christofides, N., Mingozzi, A., Toth, P., Sandi, C. (eds.): Combinatorial optimization. John Wiley, Chichester (1979)
Golden, B.L., Raghavan, S., Wasil, E.A. (eds.): The Vehicle Routing Problem: Latest Advances and New Challenges. Operations Research Computer Science Interfaces Series, vol. 43. Springer (2008)
Laporte, G., Gendreau, M., Potvin, J., Semet, F.: Classical and modern heuristics for the vehicle routing problem. International Transactions in Operational Research 7, 285–300 (2000)
Le Bouthillier, A., Crainic, T.G.: A cooperative parallel meta-heuristic for the vehicle routing problem with time windows. Computers & Operations Research 32, 1685–1708 (2005)
Lin, S.: Computer solutions of the traveling salesman problem. Bell Syst. Tech. J. 44, 2245–2269 (1965)
Masegosa, A.D., Pelta, D.A., Verdegay, J.L.: Cooperative Methods in Optimisation. Lambert Academic Publishing (2011)
Meignan, D., Creput, J.C., Koukam, A.: Coalition-based metaheuristic: a self-adaptive metaheuristic using reinforcement learning and mimetism. Journal of Heuristics 16(6), 859–879 (2010)
Osman, I.H.: Metastrategy simulated annealing and tabu search algorithms for the vehicle routing problem. Annals of Operations Research 41, 421–451 (1993)
Talbi, E.: A taxonomy of hybrid metaheuristics. Journal of Heuristics 8(5), 541–564 (2002)
Toulouse, M., Crainic, T.G., Gendreau, M.: Communication issues in designing cooperative multi thread parallel searches. In: Osman, I.H., Kelly, J.P. (eds.) Meta-Heuristics: Theory & Applications, pp. 501–522. Kluwer, Norwell (1996)
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Barbucha, D. (2012). A New Cooperative Search Strategy for Vehicle Routing Problem. In: Nguyen, NT., Hoang, K., Jȩdrzejowicz, P. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2012. Lecture Notes in Computer Science(), vol 7654. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34707-8_44
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DOI: https://doi.org/10.1007/978-3-642-34707-8_44
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