Greedy-search-based multi-objective genetic algorithm for emergency logistics scheduling
作者:
Highlights:
• GSMOGA combines the advantages of the greedy search method and MOGA.
• GSMOGA is able to quickly generate a number of feasible solutions.
• GSMOGA arranges schedules (feasible solutions) based on multi-depot and multidemand.
• GSMOGA reveals what resources are required and acquired at demand and supply point.
• GSMOGA is capable of arranging routing schedules for each form of transport.
摘要
•GSMOGA combines the advantages of the greedy search method and MOGA.•GSMOGA is able to quickly generate a number of feasible solutions.•GSMOGA arranges schedules (feasible solutions) based on multi-depot and multidemand.•GSMOGA reveals what resources are required and acquired at demand and supply point.•GSMOGA is capable of arranging routing schedules for each form of transport.
论文关键词:Logistics,Split delivery,Emergency logistics distribution,Multi-objective optimization,Dynamic traffic assignment
论文评审过程:Available online 22 October 2013.
论文官网地址:https://doi.org/10.1016/j.eswa.2013.10.026