AN ASSIGNMENT-BASED LOCAL SEARCH METHOD FOR SOLVING VEHICLE ROUTING PROBLEMS
L. Zeng,
H. L. Ong and
K. M. Ng
Additional contact information
L. Zeng: Department of Industrial and Systems Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260, Singapore
H. L. Ong: Department of Industrial and Systems Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260, Singapore
K. M. Ng: Department of Industrial and Systems Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260, Singapore
Asia-Pacific Journal of Operational Research (APJOR), 2005, vol. 22, issue 01, 85-104
Abstract:
In this paper, we propose an assignment-based local search method for solving vehicle routing problems. This method is a multi-route improvement algorithm that can operate on several routes at a time. To evaluate the performance of the proposed method, extensive computational experiments on the proposed method applied to a set of benchmark problems are carried out. The results show that the proposed method, when coupled with metaheuristics such as simulated annealing, is comparable with other efficient heuristic methods proposed in the literature.
Keywords: Vehicle routing problem; heuristic; metaheuristic; assignment problem (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:apjorx:v:22:y:2005:i:01:n:s0217595905000479
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DOI: 10.1142/S0217595905000479
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