| 一种求解非线性约束优化的单变量边缘分布算法 |
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| 引用本文： | 张金风,夏桂梅. 一种求解非线性约束优化的单变量边缘分布算法[J]. 宁夏师范学院学报, 2014, 35(3): 37-40 |
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| 作者姓名： | 张金风 夏桂梅 |
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| 作者单位： | 太原科技大学应用科学学院,山西太原,030024 |
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| 摘 要： | 借鉴罚函数法思想,将建立在Gauss网络的单变量边缘分布算法应用于非线性约束优化问题,提出的新算法突破了传统基于约束保持法或可行规则法的约束处理.且单变量边缘分布是基于搜索空间的宏观层面的进化方法,具备更强的全局搜索能力和更高的收敛率,从而为约束问题的求解提供了一种新的途径.
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| 关 键 词： | 分布估计算法 罚函数 非线性约束优化 |
An algorithm for Solving Constrained Optimization Problems with Univariate Marginal Distribution |
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| ZHANG Jinfeng,XIA Guimei. An algorithm for Solving Constrained Optimization Problems with Univariate Marginal Distribution[J]. Journal of Ningxia Teachers College, 2014, 35(3): 37-40 |
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| Authors: | ZHANG Jinfeng XIA Guimei |
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| Affiliation: | ( School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, Shanxi 030024 ) |
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| Abstract: | In view of penalty function＇s idea,application of UMDA based on generic Gassian Networks to the nonlinear constrained optimization problems are described in the paper. The proposed algorithm breaks the classical method of constraint preserving and feasible rule. In addition,EDAs with a stronger global search ability and higher convergence,is macro-level evolutionary approach based on search space. Therefore,a novel way of the constrained optimization problems is proposed. |
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| Keywords: | Estimation of distribution algorithms Penalty function Constrained optimization problems |
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