Modified Differential Evolution for Dynamic Optimization Problems

摘要：

Modified differential evolution algorithm (MDE) is proposed for dynamic optimization problems. The new algorithm divides the population into two, a main subpopulation and an assistant one. The main subpopulation keeps invariant and searches locally. The assistant subpopulatioin is re-initialized at random and searches globally. The results show that MDE can track the changing extreme promptly and accurately and is capable of efficiently solving dynamic optmization problems.

关键词： Differential Evolution Dynamic Optimization Problems Subpopulation

作者: Jiang Liqiang Qiang Hongfu

作者单位: The Second Artillery Engineering College, Xian, Shaanxi, 710025, China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System Design and Engineering Applications(2012年智能系统设计与工程应用国际会议 ISDEA 2012)

会议地点: 三亚

会议语种:英文

页码: 355-358

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）