| 一种求解约束优化问题的改进粒子群算法及其应用 |
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| 引用本文： | 廖猜猜,席光,徐建中.一种求解约束优化问题的改进粒子群算法及其应用[J].工程热物理学报,2010,31(1). |
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| 作者姓名： | 廖猜猜 席光 徐建中 |
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| 作者单位： | 1. 西安交通大学能源与动力工程学院,陕西西安,710049
2. 中科院工程热物理研究所,北京,100190 |
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| 摘 要： | 针对复杂约束优化问题,提出一种改进的粒子群方法。该粒子群算法对于不满足约束条件的粒子实行全概率接收,但令其目标函数值同为一个很小的常数,以保持粒子的多样性并使最优解在可行域内。另外,在PSO算法的基础上,使惯性权值按对数规律单调递减,同时引进选择遗传算子,以增强其全局寻优性能。数值实验表明:与PSO算法和一些其它优化算法相比,改进算法具有较强的寻优能力和寻优效率。工程应用表明,改进算法具有一定的优越性。
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| 关 键 词： | 约束优化问题 粒子群算法 选择遗传 惯性权值 寻优能力 |
AN IMPROVED PSO ALGORITHM FOR SOLUTION OF CONSTRAINT OPTIMIZATION PROBLEM AND ITS APPLICATION |
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| LIAO Cai-Cai,XI Guang,XU Jian-Zhong.AN IMPROVED PSO ALGORITHM FOR SOLUTION OF CONSTRAINT OPTIMIZATION PROBLEM AND ITS APPLICATION[J].Journal of Engineering Thermophysics,2010,31(1). |
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| Authors: | LIAO Cai-Cai XI Guang XU Jian-Zhong |
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| Institution: | 1.School of Energy & Power Engineering;Xi'an Jiaotong University;Xi'an 710049;China;2.Institute of Engineering Thermophysics;Chinese Academy of Sciences;Beijing 100190;China |
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| Abstract: | An improved particle swarm optimization(PSO) algorithm is developed to solve complicated constrained optimization problems.This algorithm accepts all the particles that do not satisfy the constrained conditions and made their objective function values a very small constant to keep the diversity of the particles,and helps the optimum solution in feasible region.In addition,based on the PSO algorithm,the inertial weight is reduced by the logarithm regular.At the same time,a selected genetic operator is used t... |
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| Keywords: | constrained optimization problems particle swarm optimization algorithm selected genetic inertial weight optimization capability |
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