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A Particle Swarm Optimization Algorithm with Path Relinking for the Location Routing Problem

  • Yannis Marinakis
  • Magdalene Marinaki
Article

Abstract

This paper introduces a new hybrid algorithmic nature inspired approach based on particle swarm optimization, for solving successfully one of the most popular logistics management problems, the location routing problem (LRP). The proposed algorithm for the solution of the location routing problem, the hybrid particle swarm optimization (HybPSO-LRP), combines a particle swarm optimization (PSO) algorithm, the multiple phase neighborhood search – greedy randomized adaptive search procedure (MPNS-GRASP) algorithm, the expanding neighborhood search (ENS) strategy and a path relinking (PR) strategy. The algorithm is tested on a set of benchmark instances. The results of the algorithm are very satisfactory for these instances and for six of them a new best solution has been found.

Keywords

Particle swarm optimization MPNS-GRASP Path relinking Expanding neighborhood search Location routing problem 

Mathematics Subject Classifications (2000)

90B06 90B80 90C59 90C27 

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Copyright information

© Springer Science+Business Media B.V. 2007

Authors and Affiliations

  1. 1.Department of Production Engineering and ManagementTechnical University of CreteChaniaGreece

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