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Erschienen in:
2010 | OriginalPaper | Buchkapitel
A Multi-Start Evolutionary Local Search for the Two-Echelon Location Routing Problem
verfasst von : Viet-Phuong Nguyen, Christian Prins, Caroline Prodhon
Erschienen in: Hybrid Metaheuristics
Verlag: Springer Berlin Heidelberg
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This paper presents a new hybrid metaheuristic between a greedy randomized adaptive search procedure (GRASP) and an evolutionary/iterated local search (ELS/ILS), using Tabu list to solve the two-echelon location routing problem (LRP-2E). The GRASP uses in turn three constructive heuristics followed by local search to generate the initial solutions. From a solution of GRASP, an intensification strategy is carried out by a dynamic alternation between ELS and ILS. In this phase, each child is obtained by mutation and evaluated through a splitting procedure of giant tour followed by a local search. The tabu list, defined by two characteristics of solution (total cost and number of trips), is used to avoid searching a space already explored. The results show that our metaheuristic clearly outperforms all previously published methods on LRP-2E benchmark instances. Furthermore, it is competitive with the best meta-heuristic published for the single-echelon LRP.