The Improved Route Hybrid Optimization Algorithm Based On GA and TS

被引：0
|
作者：
Ma Jun [1 ]
Zhang Liying [1 ]
机构：
[1] Capital Univ Econ & Business, Sch Safety & Environm Engn, Beijing, Peoples R China
来源：
PROGRESS IN CIVIL ENGINEERING, PTS 1-4 | 2012年 / 170-173卷
关键词：
Routing planning; Logistics; Genetic algorithm; Taboos algorithm;
D O I：
10.4028/www.scientific.net/AMM.170-173.3695
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
The vehicle routing planning in the process of logistics is a hot issue. There is a lack of traditional genetic algorithm used to solve this issue, so the taboos is introduced to improve it. The improved genetic algorithm based on taboos get high-search speed compared to the traditional genetic algorithm, and this improvement is verified by the example.
引用
收藏
页码：3695 / 3698
页数：4
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