A Comparison of the Four Evolutionary Programming Implementations used as Function Optimizers

摘要：

In this artical, four evolutionary programming algorithms (Standard EP, Meta-EP, Continuous Standard EP and Continuous Meta-EP algorithms) are applied to test to maximizing a solution against a highly multimodal test objective function. We will use the same population size to compare the effectiveness of these four algorithms according to their success rate, average number of function evaluation and average best fitness. We experiments with different population size.

作者: Shaojun Luan Xuedong Gao Bing Qi

作者单位: School of Economics and Management of University of Science and Technology BeiJing Beijing,China Department of Computer Science and Software Engineering, 107 Dunstan Hall,Auburn University, AL 3684

会议类型: 国际会议

会议名称: 2010 International Conference on E-Health Networking,Digital Ecosystems and Techonlogies(2010电子健康网络、数字生态系统和技术国际会议 EDT 2010)

会议地点: 深圳

会议语种:英文

页码: 421-425

在线出版日期: 2010-04-17（万方平台首次上网日期，不代表论文的发表时间）