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