2016 Chinese Control and Decision Conference (CCDC) 2016
DOI: 10.1109/ccdc.2016.7531841
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Vehicle routing with time windows based on two-stage optimization algorithm

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Cited by 5 publications
(2 citation statements)
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“…A new hybrid genetic search with advanced diversity control is presented to efficiently address the model. Liao et al [28] proposed a mathematical model for VRPTW considering the travel distance and vehicle waiting time for the customer, and the objective is to minimize total cost of transportation. A two-stage optimization algorithm with the help of ant-colony algorithm and plug-in heuristic algorithm is proposed to solve the model.…”
Section: Literature Reviewmentioning
confidence: 99%
“…A new hybrid genetic search with advanced diversity control is presented to efficiently address the model. Liao et al [28] proposed a mathematical model for VRPTW considering the travel distance and vehicle waiting time for the customer, and the objective is to minimize total cost of transportation. A two-stage optimization algorithm with the help of ant-colony algorithm and plug-in heuristic algorithm is proposed to solve the model.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Liao et al [46] used a two-stage optimization algorithm for VRPTW. During the first stage, the AS version of ACO was applied followed by a plug-in heuristic algorithm in the second stage.…”
Section: Solving Vrptw Using Acomentioning
confidence: 99%