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Experimental Study of the Population Parameters Settings in Cooperative Multi-agent System Solving Instances of the VRP

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Transactions on Computational Collective Intelligence IX

Part of the book series: Lecture Notes in Computer Science ((TCCI,volume 7770))

Abstract

Usually a lot of experiments are often required in order to tune population-based algorithms, designed for solving difficult optimization problems. Individial features of a particular problem, different parameters of population of individuals, or structure of the algorithm may influence results produced by the system. The paper aims at evaluating experimentally to what extent (if any) different values of the population parameters controlled by the user in a multi-agent system solving instances of Vehicle Routing Problem influence computational results. The reported experiment involved several methods of creating an initial population of solutions and several cooperating agents representing improvement heuristics working in parallel.

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Author information

Authors and Affiliations

  1. Department of Information Systems, Gdynia Maritime University, Morska 83, 81-225, Gdynia, Poland

    Dariusz Barbucha

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  1. Dariusz Barbucha
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Editors and Affiliations

  1. Institute of Informatics, Wrocław University of Technology, Str. Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland

    Ngoc Thanh Nguyen

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Barbucha, D. (2013). Experimental Study of the Population Parameters Settings in Cooperative Multi-agent System Solving Instances of the VRP. In: Nguyen, N.T. (eds) Transactions on Computational Collective Intelligence IX. Lecture Notes in Computer Science, vol 7770. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36815-8_1

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  • DOI: https://doi.org/10.1007/978-3-642-36815-8_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36814-1

  • Online ISBN: 978-3-642-36815-8

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