计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (31): 48-49.

• 学术探讨 • 上一篇    下一篇

基于遗传算法的多响应优化方法研究

何 桢,赵 有,马彦辉   

  1. 天津大学 管理学院,天津 300072
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-11-01 发布日期:2007-11-01
  • 通讯作者: 何 桢

Study on multi-response optimization approach based on genetic algorithm

HE Zhen,ZHAO You,MA Yan-hui   

  1. School of Management,Tianjin University,Tianjin 300072,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-11-01 Published:2007-11-01
  • Contact: HE Zhen

摘要: 满意度函数法应用优化算法对总体满意度函数最大化求解,获得最佳因子组合。然而,满意度函数有时不可微,随因子、响应个数的增加,问题变复杂时,传统的优化算法可能获得局部最优解。提出一种基于遗传算法的满意度多响应优化方法。实例验证了该方法的有效性。

Abstract: Desirability function method uses a desirability function combined with an optimization algorithm to find the most desirable settings of the controllable factors.As nondifferentiable point occurs,the problem grows even moderately in either the number of factors or the number of responses,conventional optimization algorithms can fail to find the global optimum.This paper proposes alternative approach which uses a desirability function combined with a Genetic Algorithm(GA).The example shows the proposed GA approach effectively solves multiple-response problems.