Adaptive large neighborhood search heuristics for the vehicle routing problem with stochastic demands and weight-related cost

•Addressed a VRP variant that considers stochastic demands and weight-related cost.•Adopted the a priori optimization solution concept to deal with the problem.•Proposed a novel and flexible recourse strategy.•Implemented three ALNS heuristics to solve the problem.•Generated test instances and bench...

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Veröffentlicht in:	Transportation research. Part E, Logistics and transportation review Jg. 85; S. 69 - 89
Hauptverfasser:	Luo, Zhixing, Qin, Hu, Zhang, Dezhi, Lim, Andrew
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Exeter Elsevier India Pvt Ltd 01.01.2016 Elsevier Sequoia S.A
Schlagworte:	A priori optimization Adaptive large neighborhood search Approximation Automotive components Benchmarks Demand Dynamic programming Heuristic Route optimization Route selection Routing Searching Stochastic demands Stochastic models Stochasticity Studies Transportation Transportation problem (Operations research) Weight-related cost Routing Adaptive large neighborhood search A priori optimization Weight-related cost Stochastic demands
ISSN:	1366-5545, 1878-5794
Online-Zugang:	Volltext
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