Particle Swarm Optimization for the Vehicle Routing Problem: A Survey and a Comparative Analysis
Yannis Marinakis (),
Magdalene Marinaki () and
Athanasios Migdalas ()
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Yannis Marinakis: Technical University of Crete, School of Production Engineering and Management
Magdalene Marinaki: Technical University of Crete, School of Production Engineering and Management
Athanasios Migdalas: Luleå Technical University, Industrial Logistics
Chapter 40 in Handbook of Heuristics, 2018, pp 1163-1196 from Springer
Abstract:
Abstract 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 had 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, many 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.
Keywords: Vehicle routing problem; Particle swarm optimization (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-07124-4_42
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DOI: 10.1007/978-3-319-07124-4_42
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