• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2013, Vol. 35 ›› Issue (4): 115-119.

• 论文 • 上一篇    下一篇

改进差异演化算法在选址决策问题中的研究

盛又文,李彦彬,张同斌   

  1. (空军工程大学导弹学院,陕西 三原 713800)
  • 收稿日期:2011-11-17 修回日期:2012-03-30 出版日期:2013-04-25 发布日期:2013-04-25

Research on distribution center location
choosing based on improved DE algorithm     

SHENG Youwen,LI Yanbin,ZHANG Tongbin   

  1. (The Missile Institute,Air Force Engineering University,Sanyuan 713800,China)
  • Received:2011-11-17 Revised:2012-03-30 Online:2013-04-25 Published:2013-04-25

摘要:

运输配送中心的选址在运输保障中占有重要作用。选址决策问题是一个经典的NPHard问题,对于大规模决策优化问题求解比较困难。提出一种基于差异演化算法和分布估计算法的优化方法,该算法利用差异演化算法收敛速度快、分布估计算法能够获得问题解空间的全局信息的优点来求解军用集装箱配送中心选址优化问题,并与当前流行的遗传算法进行比较,验证了算法的有效性。

关键词: 军用集装箱, 差异演化算法, 分布估计算法, 遗传算法, 配送中心选址

Abstract:

Distribution center location choosing is very important in the transportation support. Location choosing is a typical NP-Hard problem, and it’s very hard to  answer large scale optimization problem. The paper combined the evolutionary algorithm DE and EDA, which can take full advantage of fast convergence of DE and the global search of EDA to solve the problem of military container distribution center location choosing. At last, compared to the fashionable algorithm GA, the results validate the efficiency of the proposed algorithm.          

Key words: military container;DE;EDA;GA;distribution center location choosing