| 基于遗传算法的多响应优化方法研究 |
| |
| 引用本文： | 何 桢,赵 有,马彦辉. 基于遗传算法的多响应优化方法研究[J]. 计算机工程与应用, 2007, 43(31): 48-49 |
| |
| 作者姓名： | 何 桢 赵 有 马彦辉 |
| |
| 作者单位： | 天津大学,管理学院,天津,300072;天津大学,管理学院,天津,300072;天津大学,管理学院,天津,300072 |
| |
| 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。
|
| 关 键 词： | 满意度函数 回归模型 响应曲面 遗传算法 |
| 文章编号： | 1002-8331（2007）31-0048-02 |
| 修稿时间： | 2007-07-01 |
Study on multi-response optimization approach based on genetic algorithm |
| |
| HE Zhen,ZHAO You,MA Yan-hui. Study on multi-response optimization approach based on genetic algorithm[J]. Computer Engineering and Applications, 2007, 43(31): 48-49 |
| |
| Authors: | HE Zhen ZHAO You MA Yan-hui |
| |
| Affiliation: | School of Management,Tianjin University,Tianjin 300072,China |
| |
| 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. |
| |
| Keywords: | desirability functions regression modeling response surface Genetic Algorithm(GA) |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机工程与应用》浏览原始摘要信息 |
|
点击此处可从《计算机工程与应用》下载免费的PDF全文 |
|
