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2010

An efficient guided local search approach for service network design problem with asset balancing

Bai, Ruibin, Kendall, Graham, and Li, Jiawei

Abstract

Service network design is a core problem for logistic transportation planning. It involves determination of the most cost-effective transportation network, package flow distribution as well as balanced vehicle schedules. In this paper, we propose an efficient guided local search approach metaheuristic for this problem, which is able to produce competitive results with much less computational time than those proposed in the literature.

Keywords

Computer scienceMetaheuristicService (business)Guided Local SearchNetwork planning and designMathematical optimizationFlow networkLocal search (optimization)Asset (computer security)Core (optical fiber)Iterated local searchVehicle routing problemMinimum-cost flow problemDistributed computingOperations researchRouting (electronic design automation)Computer networkEngineeringArtificial intelligenceComputer securityMathematics

Authors from this organization

Ruibin Bai

Ruibin Bai

Director of Lab

Computer Science and Operations Research

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