| 基于遗传算法的Kriging模型构造与优化 |
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| 引用本文： | 游海龙,贾新章.基于遗传算法的Kriging模型构造与优化[J].计算机辅助设计与图形学学报,2007,19(1):64-68. |
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| 作者姓名： | 游海龙 贾新章 |
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| 作者单位： | 1. 西安电子科技大学微电子学院,西安,710071
2. 宽禁带半导体材料与器件教育部重点实验室,西安,710071 |
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| 摘 要： | 相关模型参数的确定是Kriging模型构造的关键,讨论了利用传统数值优化方法,如模式搜索方法,确定相关参数存在依赖搜索起始点等缺点;利用遗传算法获得满足目标函数全局最小情况下的相关模型参数,解决了模型的构造对起始点依赖的问题;将遗传算法与改进后的Kriging模型结合,基于近似模型对系统进行全局最优化.
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| 关 键 词： | Kriging元模型 相关模型参数 遗传算法 全局最优值 基于遗传算法 Kriging 近似模型 构造 全局最优化 Genetic Algorithms Based Metamodel Optimization 系统 结合 改进 问题 搜索起始点 情况 全局最小 目标函数 存在 相关参数 搜索方法 |
| 收稿时间： | 2006-03-01 |
| 修稿时间： | 2006-03-012006-06-05 |
The Construction and Optimization of Kriging Metamodel Based on Genetic Algorithms |
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| You Hailong,Jia Xinzhang.The Construction and Optimization of Kriging Metamodel Based on Genetic Algorithms[J].Journal of Computer-Aided Design & Computer Graphics,2007,19(1):64-68. |
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| Authors: | You Hailong Jia Xinzhang |
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| Abstract: | The determination of correlation parameters is the key point for constructing Kriging model.It is discussed that the optimum result will depend on the starting points to search if the correlation parameters are determined using conventional numerical optimization methods,such as pattern search method.Then the global optimums of correlation model parameters are obtained by Generic Algorithms (GA).The problem of Kriging construction depending on the starting points is solved.Additionally,using GA with the improved Kriging model the system can be globally optimized based on the approximate model of the system. |
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| Keywords: | Kriging model correlation model parameters genetic algorithms global optimum |
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