| 基于聚集度控制的PSO算法研究 |
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| 引用本文： | 刘东 冯全源. 基于聚集度控制的PSO算法研究[J]. 控制与决策, 2011, 26(12): 1917-1920 |
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| 作者姓名： | 刘东 冯全源 |
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| 作者单位： | 1. 西南交通大学电气工程学院,成都610031／西南交通大学信息科学与技术学院,成都610031
2. 西南交通大学信息科学与技术学院,成都,610031 |
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| 基金项目： | 国家自然科学基金重大项目(60990320,60990323); 中央高校基本科研业务费专项资金项目(SWJTU09BR068) |
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| 摘 要： | 针对粒子群优化（PSO）算法在处理复杂优化问题时，容易早熟收敛的问题，将比例控制器用于粒子群算法种群聚集度控制．粒子种群可以在任一聚集范围内保持任意时间的搜索，这样能够更好地平衡种群聚集度和搜索精度，从而提高PSO算法处理复杂优化问题的效率．对多零点和低旁瓣约束情况下的阵列天线方向图优化进行仿真实验，结果表明所提算法可在处理复杂优化问题上取得更好的优化效果．
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| 关 键 词： | 粒子群优化算法：聚集度控制 方向图综合 |
| 收稿时间： | 2010-08-02 |
| 修稿时间： | 2011-01-12 |
Study of Particle Swarm Optimization Algorithm Based on Convergence Control |
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| LIU Dong,FENG Quan-Yuan. Study of Particle Swarm Optimization Algorithm Based on Convergence Control[J]. Control and Decision, 2011, 26(12): 1917-1920 |
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| Authors: | LIU Dong FENG Quan-Yuan |
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| Affiliation: | LIU Dong~ a,b,FENG Quan-yuan~b a.School of Electrical Engineering,b.School of Information and Science Technology,Southwest Jiaotong University,Chengdu 610031,China. |
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| Abstract: | Aiming at the premature convergence problem of particle swarm optimization(PSO) algorithm while optimizing complicated problems,the proportion control is used to improve algorithm efficiency.The particle population of PSO algorithm can be hold at any convergence status as long as wanted,and the particle diversity and search precision are both assured,so that the efficient of algorithm is improved.The simulation results show its high performance in complicated problem.such as the radiation antenna arrays pat... |
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| Keywords: | particle swarm optimization algorithms convergence control patterns synthesis |
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