东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2013, Vol. 34 ›› Issue (3): 330-334.DOI: -

• 信息与控制 • 上一篇    下一篇

随机变异差分进化算法

欧阳海滨，高立群，孔祥勇   

  1. (东北大学信息科学与工程学院，辽宁沈阳110819)
  • 收稿日期:2012-09-08 修回日期:2012-09-08 出版日期:2013-03-15 发布日期:2013-01-26
  • 通讯作者: 欧阳海滨
  • 作者简介:欧阳海滨(1987-)，男，湖南郴州人，东北大学博士研究生；高立群(1949-)，男，辽宁沈阳人，东北大学教授，博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(81000639).

Random Mutation Differential Evolution Algorithm

OUYANG Haibin， GAO Liqun， KONG Xiangyong   

  1. School of Information Science ＆ Engineering， Northeastern University， Shenyang 110819， China.
  • Received:2012-09-08 Revised:2012-09-08 Online:2013-03-15 Published:2013-01-26
  • Contact: OUYANG Haibin
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摘要： 为了避免差分进化算法陷入早熟，提出了一种随机变异差分进化算法(RMDE).这种算法改进了差分进化算法的变异操作，采用随机选择的方式进行变异和扰动操作，增加种群的多样性，平衡算法的局部搜索和全局搜索.对几种标准的函数进行了测试，结果表明RMDE算法优于其他5种算法.并将该算法应用于13机组的电力系统经济调度问题，与文献其他算法相比，RMDE算法取得的结果优于最近文献所报道的结果.

关键词: 差分进化算法, 随机选择, 变异, 扰动, 多样性

Abstract: To prevent differential evolution algorithm from being trapped into premature phenomenon， a random mutation differential evolution (RMDE) algorithm was presented. Random choice method was adopted to implement mutation and disturbance operation， which was aimed at increasing the diversity of population and balancing the local and global search. Several standard test functions were tested， and the results verified the RMDE is superior to the other five algorithms. The proposed RMDE algorithm was then applied to solving the economic dispatch problems of power system with 13 units. Experimental results showed that the solution obtained by the RMDE algorithm is better than that reported in recent literatures.

Key words: differential evolution algorithm, random choice, mutation, disturbance, diversity

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