| 混合微粒群算法在非线性约束优化中的应用 |
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| 引用本文： | 张喆,李燕.混合微粒群算法在非线性约束优化中的应用[J].计算机应用与软件,2004,21(8):114-115,118. |
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| 作者姓名： | 张喆 李燕 |
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| 作者单位： | 1. 青岛建筑工程学院,青岛,266520;中国海洋大学,青岛,266003
2. 青岛建筑工程学院,青岛,266520 |
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| 摘 要： | 本文将微粒群算法(PSO)与罚函数法结合，提出了一种求解非线性约束优化问题的新算法，数值试验表明该算法具有很强的全局寻优能力。
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| 关 键 词： | 非线性约束优化 混合微粒群算法 罚函数法 求解方法 |
TO SOLVE NONLINEAR CONSTRAINED OPTIMIZATION PROBLEMS WITH HYBRID PARTICLE SWARM ALGORITHM |
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| Zhang Zhe , Li Yan.TO SOLVE NONLINEAR CONSTRAINED OPTIMIZATION PROBLEMS WITH HYBRID PARTICLE SWARM ALGORITHM[J].Computer Applications and Software,2004,21(8):114-115,118. |
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| Authors: | Zhang Zhe Li Yan |
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| Affiliation: | Zhang Zhe 1,2 Li Yan 1 1 |
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| Abstract: | This paper uses particle swarm algorithm(PSO)combined with punished funciton method to solve Nonlinear Constrained Optimization Problems,a new algorithm based on particle swarm algorithm is given and numerical experiences show that the new algorithm has powerful ability of global searching. |
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| Keywords: | Particle swarm Penalty function Nonlinear constrained optimization |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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