GA-Based Multi-Response Desirability Function Optimization Approach

摘要：

Many robust design requires the simultaneous optimization of multiple responses.Desirability function method is one of the most popular approaches for multi-response optimization,which is to use a desirability function combined with an optimization algorithm to find the most desirable settings of the controllable factors.As nondifferentiable point occurs; conventional optimization algorithms can fail to find the global optimum.This paper proposes alternative approach which is to use a desirability function combined with a genetic algorithm (GA).In particular,the problem grows even moderately in either the number of factors or the number of responses.The method is more effective.A verification example is given.

关键词： desirability functions multiple-response surface genetic algorithms optimization approach

作者: Xuemei Sun Dakun Zhang Yong Chen You Zhao

作者单位: College of Computer Tianjin Polytechnic UniversityTianjin,China School of Management Tianjin University Tianjin,China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Service Operations and Logistics, and Informatics(IEEE/SOLI’2008)(IEEE服务运作、物流与信息年会)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-12（万方平台首次上网日期，不代表论文的发表时间）