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
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)