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Effective Stopping Rule for Population-Based Cooperative Search Approach to the Vehicle Routing Problem

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Intelligent Decision Technologies (IDT 2017)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 39))

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Abstract

The main goal of the paper is to propose an effective stopping criterion based on diversity of the population implemented in cooperative search approach to the vehicle routing problem. The main idea is to control diversity of the population during the whole process of solving particular problem and to stop algorithm when the stagnation in the population is observed, i.e. diversity of the population does not significantly change during a given period of time. Computational experiment which has been carried out confirmed that using the proposed diversity-based stopping criterion may significantly reduce the computation time when compared to using traditional criterion where algorithm stops after a given period of time (or iterations), without significant deterioration of the quality of obtained results.

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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

Authors
  1. Dariusz Barbucha
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Correspondence to Dariusz Barbucha .

Editor information

Editors and Affiliations

  1. FCT, Universidade Nova de Lisboa, Caparica, Portugal

    Rui Neves-Silva

  2. Faculty of Education, Science, Technology and Mathematics, University of Canberra, Canberra, Australia

    Lakhmi C. Jain

  3. KES International, Shoreham-by-sea, United Kingdom

    Robert J. Howlett

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Barbucha, D. (2015). Effective Stopping Rule for Population-Based Cooperative Search Approach to the Vehicle Routing Problem. In: Neves-Silva, R., Jain, L., Howlett, R. (eds) Intelligent Decision Technologies. IDT 2017. Smart Innovation, Systems and Technologies, vol 39. Springer, Cham. https://doi.org/10.1007/978-3-319-19857-6_6

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  • DOI: https://doi.org/10.1007/978-3-319-19857-6_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19856-9

  • Online ISBN: 978-3-319-19857-6

  • eBook Packages: EngineeringEngineering (R0)

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