Abstract
The paper aims at evaluating experimentally the influence a population size and method of creating the initial population of solutions on computational results produced by the population-based multi-agent systems solving instances of the capacitated vehicle routing problem. The reported experiment involved several methods of creating of initial population of various sizes and several cooperating agents representing improvement heuristics working in parallel.
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References
Aydin, M.E., Fogarty, T.C.: Teams of autonomous agents for job-shop scheduling problems: An Experimental Study. Journal of Intelligent Manufacturing 15(4), 455–462 (2004)
Barbucha, D., Jȩdrzejowicz, P.: An experimental investigation of the synergetic effect of multiple agents working together in the A-team. Systems Science 34(2), 55–63 (2008)
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.: Cooperative Solution to the Vehicle Routing Problem. In: Jędrzejowicz, P., Nguyen, N.T., Howlet, R.J., Jain, L.C. (eds.) KES-AMSTA 2010. LNCS, vol. 6071, pp. 180–189. Springer, Heidelberg (2010)
Barbucha, D.: Synchronous vs. Asynchronous Cooperative Approach to Solving the Vehicle Routing Problem. In: Pan, J.-S., Chen, S.-M., Nguyen, N.T. (eds.) ICCCI 2010. LNCS (LNAI), vol. 6421, pp. 403–412. Springer, Heidelberg (2010)
Christofides, N., Mingozzi, A., Toth, P., Sandi, C. (eds.): Combinatorial optimization. John Wiley, Chichester (1979)
Gillett, B.E., Miller, L.R.: A heuristic algorithm for the vehicle dispatch problem. Operations Research 22, 240–349 (1974)
Jennings, N.R., Sycara, K., Wooldridge, M.: A Roadmap of Agent Research and Development. Autonomous Agents and Multi-Agent Systems 1, 7–38 (1998)
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)
Parunak, H.V.D.: Agents in overalls: Experiences and issues in the development and deployment of industrial agent-based systems. International Journal of Cooperative Information Systems 9(3), 209–228 (2000)
Puchinger, J., Raidl, G.R.: Combining Metaheuristics and Exact Algorithms in Combinatorial Optimization: A Survey and Classification. In: Mira, J., Álvarez, J.R. (eds.) IWINAC 2005. LNCS, vol. 3562, pp. 41–53. Springer, Heidelberg (2005)
Talukdar, S., Baeretzen, L., Gove, A., de Souza, P.: Asynchronous teams: Cooperation schemes for autonomous agents. Journal of Heuristics 4, 295–321 (1998)
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Barbucha, D. (2011). Solving the Capacitated Vehicle Routing Problem by a Team of Parallel Heterogeneous Cooperating Agents. In: Jędrzejowicz, P., Nguyen, N.T., Hoang, K. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2011. Lecture Notes in Computer Science(), vol 6923. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23938-0_34
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DOI: https://doi.org/10.1007/978-3-642-23938-0_34
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