会议专题

GA-Based Multi-Response Desirability Function Optimization Approach

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.

desirability functions multiple-response surface genetic algorithms optimization approach

Xuemei Sun Dakun Zhang Yong Chen You Zhao

College of Computer Tianjin Polytechnic UniversityTianjin,China School of Management Tianjin University Tianjin,China

国际会议

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)

北京

英文

2008-10-12(万方平台首次上网日期,不代表论文的发表时间)