A parallel multi-neighborhood cooperative tabu search for capacitated vehicle routing problems

Jianyong Jin, Teodor Gabriel Crainic and Arne Løkketangen

European Journal of Operational Research, 2012, vol. 222, issue 3, 441-451

Abstract: This paper presents a parallel tabu search algorithm that utilizes several different neighborhood structures for solving the capacitated vehicle routing problem. Single neighborhood or neighborhood combinations are encapsulated in tabu search threads and they cooperate through a solution pool for the purpose of exploiting their joint power. The computational experiments on 32 large scale benchmark instances show that the proposed method is highly effective and competitive, providing new best solutions to four instances while the average deviation of all best solutions found from the collective best results reported in the literature is about 0.22%. We are also able to associate the beneficial use of special neighborhoods with some test instance characteristics and uncover some sources of the collective power of multi-neighborhood cooperation.

Keywords: Routing; Parallel metaheuristics; Multi-neighborhood; Cooperative search; Solution pool (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:222:y:2012:i:3:p:441-451

DOI: 10.1016/j.ejor.2012.05.025

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