A New Mutation Operator Based on the T Probability Distribution in Evolutionary Programming

摘要：

A new mutation operator based on the T probability distribution is studied. The T probability distribution is stable and can generate an offspring that is farther away from its parent than the commonly employed Gaussian mutation. Moreover, it has a better fine-tuning ability than the Cauchy mutation. In this paper, evolutionary programming (EP) with mutations based on the T probability distribution is studied. The new algorithm is tested on 23 benchmark functions and compared with the conventional EP and the fast EP. The experimental results demonstrate that the performance of the proposed algorithm outperforms the conventional EP and the fast EP.

关键词： Evolutionary programming T probability distribution T mutation function optimization.

作者: Wenyin Gong Zhihua Cai Xinwei Lu Siwei Jiang

作者单位: School of Computer Sciences, China University of Geosciences, Wuhan 43007, P. R. China

会议类型: 国际会议

会议名称: Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

会议地点: 北京

会议语种:英文

页码: 675-679

在线出版日期: 2006-07-17（万方平台首次上网日期，不代表论文的发表时间）