JOURNAL ARTICLE

Local search-based metaheuristics for the split delivery vehicle routing problem

Ulrich DerigsBokang LiUte Vogel

Year: 2009 Journal:   Journal of the Operational Research Society Vol: 61 (9)Pages: 1356-1364   Publisher: Palgrave Macmillan

Abstract

Abstract The split delivery vehicle routing problem is a variant of the standard vehicle routing problem where the single-visit assumption is waived and a customer might be served on more than one vehicle tour. In this article we report on a study where we have applied the standard local search-based metaheuristics using adaptations of the most widely used inter-tour and intra-tour exchange operators for solving the standard vehicle routing problem now allowing splitting and joining of deliveries. As we will show we could find new best solutions for 51 out of 57 benchmark instances, which have been defined for this problem class.

Keywords:
Vehicle routing problem Metaheuristic Benchmark (surveying) Computer science Local search (optimization) Routing (electronic design automation) Mathematical optimization Iterated local search Heuristics Operations research Purchasing Class (philosophy) Mathematics Operations management Computer network Artificial intelligence Economics

Metrics

44
Cited By
7.07
FWCI (Field Weighted Citation Impact)
27
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Vehicle Routing Optimization Methods
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Optimization and Packing Problems
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Metaheuristic Optimization Algorithms Research
Physical Sciences →  Computer Science →  Artificial Intelligence

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