Research on search performance of crossover and mutation in real-coded GA

摘要：

The search performance of crossover operator and mutation operator of real-coded GA is studied. The gene level diversity of GA is defined firstly from mathematics angle; and referring to the concepts of space and subspace in linear algebra, the concepts of arithmetic crossover extended subspace of population, the optimization space and initial population space are defined, the extensibility of crossover and mutation in solution space is analyzed. Secondly, the idea of population inward contraction and external expansion is provided and the influence of crossover and mutation on population diversity is studied.

关键词： Genetic Algorithm real-coded, mathematics space, population diversity

作者: Zhao Hong Sheng Andong

作者单位: School of Automation, Nanjing University of Science and Technology Nanjing, China School of Mathemat School of Automation, Nanjing University of Science and Technology Nanjing, China

会议类型: 国际会议

会议名称: 2011 Third International Conference on Intelligent Human-Machine Systems and Cybernetics 第三届智能人机系统与控制论国际会议 IHMSC 2011

会议地点: 杭州

会议语种:英文

页码: 210-214

在线出版日期: 2011-08-26（万方平台首次上网日期，不代表论文的发表时间）