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Solving the Capacitated Vehicle Routing Problem by a Team of Parallel Heterogeneous Cooperating Agents

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6923))

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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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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

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23937-3

  • Online ISBN: 978-3-642-23938-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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