元启发式
车辆路径问题
并行元启发式
计算机科学
算法
数学优化
布线(电子设计自动化)
数学
元优化
计算机网络
作者
Raafat Elshaer,Hadeer Awad
标识
DOI:10.1016/j.cie.2019.106242
摘要
Recently, a taxonomic review of the Vehicle Routing Problem (VRP) literature published between 2009 and June 2015 stated that most of the surveyed articles use metaheuristics for solving the problem and its variants. As extension to that work, this paper serves two-fold objectives: first, classifying the VRP and its variants solved using metaheuristic algorithms; second, investigating the contribution of each metaheuristic algorithm in solving the VRP problems. Based on a metaheuristic classification, we classify 299 VRP articles published between 2009 and 2017. The results are analyzed to reveal the usage trends of the algorithms and the solved VRP variants for showing the ones that are most popular, and those that are promising topics for future research.
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