The heterogeneous fleet vehicle routing problem with light loads and overtime: Formulation and population variable neighbourhood search with adaptive memory.

Expert Systems with Applications(2018)

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摘要
•VNS-triggered memory extraction improves method performance up to 5.2%.•Incorporating real life aspects could improve daily total routing cost up to 8%.•Vehicle capacity and working time utilization could be improved by up to 12.5%.•Real life aspects could improve fleet composition at no extra cost.•Interesting managerial insights regarding real life routing trade-offs.
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关键词
Real life vehicle routing,Population Variable Neighbourhood Search,Adaptive Memory,MIP Formulation,Managerial Insights
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