A Modified Differential Evolution Algorithm with Self-adaptive Control Parameters

摘要：

Parameters setting is an important problem ofevolution algorithms,include differential evolutionalgorithm.It has an effect on the performance ofevolution algorithms.Although there is only threecontrol parameters in differential evolution(DE)algorithm,the parameters setting is also a difficultproblem.Self-adaptation is highly beneficial foradjusting the control parameters,especially when donewithout any user interaction.This paper presentsdifferential evolution algorithm,called(AdaptDE),which use self-adaptive mechanisms applied to thecontrol parameters.It can get the optimal controlparameters for different optimization problem withoutuser interaction.Experimental results indicate thatAdaptDE algorithm is efficient and feasible.It issuperior to jDE algorithm and FADE algortihm on thequality of solution.

作者: Wu Zhi-Feng Huang Hou-Kuan Yang Bei Zhang Ying

作者单位: School of Computer and Information Technology,Beijing Jiaotong University,Beijing,100044,China;Schoo School of Computer and Information Technology,Beijing Jiaotong University,Beijing,100044,China

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: 524-527

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）