| 一种多样性控制的粒子群优化算法 |
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| 引用本文： | 方伟,孙俊,须文波.一种多样性控制的粒子群优化算法[J].控制与决策,2008,23(8). |
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| 作者姓名： | 方伟 孙俊 须文波 |
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| 作者单位： | 江南大学信息工程学院,江苏,无锡,214122 |
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| 摘 要： | 针对粒子群优化(PSO)算法的早熟收敛问题,提出一种新的基于群体多样性控制的PSO算法(DCPSO).该方法使得粒子在收缩状态下充分搜索,在发散状态下能够飞离群体的聚集位置,不断的收缩-发散过程保证了群体能在较大的空间进行搜索,减少了粒子群算法的早熟收敛现象.通过对多个标准测试函数的实验结果表明,DCPSO算法在复杂优化问题中具有较强的全局搜索能力,而且比现有的多样性指导的PSO算法(ARPSO)具有更好的性能.
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| 关 键 词： | 粒子群优化 早熟收敛 多样性 全局收敛 |
| 收稿时间： | 2007-6-14 |
| 修稿时间： | 2007-9-24 |
Diversity-controlled particle swarm optimization algorithm |
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| FANG Wei,SUN Jun,XU Wen-bo.Diversity-controlled particle swarm optimization algorithm[J].Control and Decision,2008,23(8). |
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| Authors: | FANG Wei SUN Jun XU Wen-bo |
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| Affiliation: | FANG Wei,SUN Jun,XU Wen-bo(School of Information Technology,Jiangnan University,Wuxi 214122,China.) |
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| Abstract: | Aiming at the premature convergence problem in particle swarm optimization(PSO) algorithm,a novel diversity-controlled PSO(DCPSO) algorithm is proposed.Guided by the controlled swarm's diversity,the particles search in the attractive phase sufficiently and adjust themselves by moving away from the center of the swarm quickly in the repulsive phase.The attractive-repulsive procedure can guarantee the population search in a wide space and help to avoid trapping into the local minima.Experimental results on se... |
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| Keywords: | Particle swarm optimization Premature convergence Diversity Global convergence |
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