Mass Customization Collaborative Logistics Chain Optimization Based on Improved Mixed Genetic-ant Colony Algorithm

被引：1
作者：
Tang Weining [1 ]
机构：
[1] Normal Coll Huzhou, Sch Business, Huzhou, Peoples R China
来源：
INFORMATION TECHNOLOGY FOR MANUFACTURING SYSTEMS II, PTS 1-3 | 2011年 / 58-60卷
关键词：
mass customization logistics; collaborative logistics chain; genetic algorithm; mixed ant colony algorithm;
D O I：
10.4028/www.scientific.net/AMM.58-60.1264
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Under condition of mass customization collaborative logistics chain for optimized configuration, taking quality, cost, time and collaboration degree as evaluation index systems, and aggregative value minimum of evaluation indices as object, an optimal model of mass customization collaborative logistics chain was established firstly. Secondly, based on genetic algorithm and ant colony algorithm, an improved mixed genetic-ant colony algorithm was proposed, which was suitable to solve the problem, and the solution process was explained. Finally, an example and comparison were presented to prove the feasibility and validity of the proposed algorithm. The method provides reference model and solution algorithm for mass customization collaboration logistics chain optimization.
引用
收藏
页码：1264 / 1271
页数：8
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