文章基本信息

标题：Bi objective hybrid vehicle routing problem with alternative paths and reliability
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作者：Nosrati, M. ; Khamseh, A.
期刊名称：Decision Science Letters
印刷版ISSN：1929-5804
电子版ISSN：1929-5812
出版年度：2020
卷号：9
期号：2
页码：145-162
DOI：10.5267/j.dsl.2020.1.002
语种：English
出版社：Growing Science Publishing Company
摘要：The hybrid vehicle routing problem is an extension of the green vehicle routing problem where vehicles can use different fuels. In this research, a bi-objective hybrid vehicles routing problem is presented and solved bu considering alternative paths, various lengths and reliabilities. The first objective function minimizes overall system costs and fuel consumption and greenhouse gas emissions, whereas the second objective function maximizes the reliability of the entire system with alternative paths and several reliabilites. The proposed model is formulated as mixed-integer nonlinear programming and a bi-objective simulated annealing (MOSA) algorithm along with the e-constraint method is used as solution strategy. The implementation of the proposed method is presented using some numerical instances.
关键词：Hybrid Vehicle Routing Problem; Reliability; Alternative Paths; Bi-Objective; Simulated Anealing Algorithm