.png){kind=icon}
返回
A vehicle routing problem solved by using a hybrid genetic algorithm
.png){kind=icon}
PRE
AI
DOI：10.1016/j.cie.2007.06.031.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The main purpose of this study is to find out the best solution of the vehicle routing problem simultaneously considering heteroaeneous vehicles, double trips, and multiple depots by using a hybrid genetic algorithm. This study suggested a mathematical programming model with a new numerical formula which presents the amount of delivery and sub-tour elimination. This model gives an optimal solution by using OPL-STUDIO(ILOG CPLEX). This study also suggests a hybrid genetic algorithm (HGA) which considers the improvement of generation for an initial solution, three different heuristic processes, and a float mutation rate for escaping from the local solution in order to find the best solution. The suggested HGA is also compared with the results of a general genetic algorithm and existing problems suggested by Eilon and Fisher. We found better solutions rather than the existing genetic algorithms. (c) 2007 Published by Elsevier Ltd.
Keyword:
hybrid genetic algorithm
heterogeneous VRP
multiple depots
double trips
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.5
论文数:
1.0W
被引数:
3.8W
机构
暂无机构信息
引用论文
A hybrid approach to vehicle routing using neural networks and genetic algorithms.png)
APPLIED INTELLIGENCE
APPLIED INTELLIGENCEIF3.5
PREAI
分享收藏Induction and elimination of bulky benzo[a]pyrene-related DNA adducts and 8-oxodGuo in mussels Mytilus galloprovincialis exposed in vivo to B[a]P-contaminated feed体内暴露于B[a]P污染的饲料中的贻贝Mytilus galloprovincialis中庞大的苯并 [a] re相关DNA加合物和8-氧代果的诱导和消除
OAAI
OAAI分享收藏
查看更多内容