| PSO算法在工程优化问题中的应用 |
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| 引用本文： | 李炳宇,萧蕴诗,汪镭.PSO算法在工程优化问题中的应用[J].计算机工程与应用,2004,40(18):74-76. |
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| 作者姓名： | 李炳宇 萧蕴诗 汪镭 |
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| 作者单位： | 同济大学电子与信息工程学院,上海,200092 |
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| 基金项目： | 国家自然科学基金资助项目(编号:60104004，70271035) |
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| 摘 要： | 粒子群优化算法是群体智能中一个新的分支。该算法本质上是一种随机搜索算法,并能以较大概率收敛到全局最优,特别适用于连续函数的优化。针对工程中的优化问题,将粒子群算法与死亡罚函数法相结合,提出一种求解有约束问题的优化算法。通过与其它算法的比较,表明该算法是一种简单、高效和普适的算法。
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| 关 键 词： | 约束优化问题 粒子群优化算法 群体智能 死亡罚函数 |
| 文章编号： | 1002-8331-(2004)18-0074-03 |
Application of Particle Swarm Optimization in Engineering Optimization Problem |
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| Li,Bingyu Xiao Yunshi,Wang Lei.Application of Particle Swarm Optimization in Engineering Optimization Problem[J].Computer Engineering and Applications,2004,40(18):74-76. |
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| Authors: | Li Bingyu Xiao Yunshi Wang Lei |
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| Abstract: | Particle Swarm Optimization(PSO)algorithm is one of embranchments of swarm intelligence.The algorithm is a random searching algorithm in nature.It can converge to the global minima more probability and be adept in continuous functions optimization.Aiming at the optimization problem in engineering,this paper proposes a new algorithm for con-strained optimization problem by combining PSO with death penalty.Comparing with other constrained optimization algo-rithms ,it proves that the algorithm is a simple,efficient and robust algorithm. |
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| Keywords: | Constrained Optimization Problem Particle Swarm Optimization swarm intelligence death penalty |
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