Binary Differential Evolution Algorithm with New Mutation Operator

摘要：

Differential Evolution (DE) algorithm is well known real parameter optimization method and has been successfully applied in many different fields. The operators used in DE are simple, however, the mechanism in which the operators are defined, makes it impossible to apply the standard DE to combinatorial problems directly. A novel binary DE was proposed to extend DE to solve binary space optimization problems. New mutation rules based on knowledge was used to guide the mutation operator. Initial experiment results indicate the effectiveness of the new mutation operator and feasibility of DE operating in binary space.

关键词： discrete optimization binary Differential Evolution mutation operator mutation rules

作者: Changshou Deng Changyong Liang Yanling Yang Bingyan Zhao Hai zhang

作者单位: Institute of Computer Network System Hefei University of Technology Hefei, Anhui Province,China Institute of Computer Network System Hefei University of Technology Hefei, Anhui Province, China Institute of Computer Network System Hefei University of Technology Hefei,Anhui Province, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 498-501

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）