Adaptive Hormone Regulation Operator For Genetic Algorithm

摘要：

According to the principle of hormone regulation in endocrine system, novel crossover operator and mutation operator for the genetic algorithm were proposed. These adaptive operators replaced the traditional crossover rate and mutation rate by assembling Hill function, and made them self-regulate to maintain the diversity of the population with a reasonable level in the whole procedure of the evolution. Experimental results of four benchmark functions showed that the improved genetic algorithm could not only effectively enhance the diversity of the population, but also avoid problems of the premature and local optimum.

关键词： hormone regulation endocrine system genetic algorithm(GA)

作者: LIU Yichen WANG Yi FAN Yangyu NIU Yilong

作者单位: School of Electronics and Information Northwestern Polytechnical University Xian, China School of Marine Engineering Northwestern Polytechnical University Xian. China

会议类型: 国际会议

会议名称: The 13th IEEE Joint International Computer Science and Information Technology Conference(2011年第13届IEEE联合国际计算机科学与信息技术会议 JICSIT 2011)

会议地点: 重庆

会议语种:英文

页码: 1844-1848

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）