A Networking Requirement Application by Multi-Objective Genetic Algorithms with Sexual Selection

摘要：

This paper is aimed to present a genetic algorithmfocusing on the Sexual Selection used the Pareto basedapproach for solving multi-objective optimizationproblems.It uses a concept of sexual selection withdifferent types of gender and mutation rates based onthe sex to produce offspring.Its performance wasevaluated by the well-known benchmark functions aswell as also tested with a networking requirementapplication,which is a multi-objective optimizationproblem.The proposed algorithm could successfullyfind solutions that meet users requirements.

作者: S.Sodsee P.Meesad Z.Li W.Halang

作者单位: Faculty of Mathematics and Computer Science,FernUniversitat in Hagen,Germany Faculty of Technical Education,King Mongkut s University of Technology North Bangkok,Thailand

会议类型: 国际会议

会议名称: 2008 3rd International Conference on Intelligent System and Knowledge Engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

会议地点: 厦门

会议语种:英文

页码: 513-518

在线出版日期: 2008-11-17（万方平台首次上网日期，不代表论文的发表时间）