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Particle Swarm Optimization for the Vehicle Routing Problem: A Survey and a Comparative Analysis
School of Production Engineering and Management, Technical University of Crete, Decision Support Systems Laboratory, Department of Production Engineering and Management, Technical University of Crete.
School of Production Engineering and Management, Technical University of Crete.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.ORCID iD: 0000-0001-8473-3663
2018 (English)In: Handbook of Heuristics / [ed] Rafael Martí, Pardalos Panos, Dr. Mauricio G. C. Resende, Springer, 2018, p. 1-34Chapter in book (Refereed)
Abstract [en]

In the last few years, a number of books and survey papers devoted to the vehicle routing problem (VRP) or to its variants or to the methods used for the solution of one or more variants of the VRP have been published. Also, in these years, the field of swarm intelligence algorithms has a significant growth. One of the most important swarm intelligence algorithms is the particle swarm optimization (PSO). Although the particle swarm optimization was first published in 1995, it took around 10 years in order researchers to publish papers using a PSO algorithm for the solution of variants of the VRP. However, in the last 10 years, a lot of journal papers, conference papers, and book chapters have been published where a variant of VRP is solved using a PSO algorithm. Thus, it is significant to present a survey paper where a review and brief analysis of the most important of these papers will be given. This is the main focus of this chapter.

Place, publisher, year, edition, pages
Springer, 2018. p. 1-34
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Logistics
Identifiers
URN: urn:nbn:se:ltu:diva-66723ISBN: 978-3-319-07153-4 (print)ISBN: 978-3-319-07153-4 (electronic)OAI: oai:DiVA.org:ltu-66723DiVA, id: diva2:1159683
Conference
Conference LOT 2014 : Logistics, optimization and transportation 01/09/2014 - 02/09/2014
Available from: 2017-11-23 Created: 2017-11-23 Last updated: 2018-04-11Bibliographically approved

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Migdalas, Athanasios

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • de-DE
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  • Other locale
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Output format
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