| 差分演化的微粒群算法 |
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| 引用本文： | 廖璟 申群太. 差分演化的微粒群算法[J]. 科学技术与工程, 2007, 7(8): 1628-16301656 |
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| 作者姓名： | 廖璟 申群太 |
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| 作者单位： | 中南大学信息工程与科学学院,长沙,410083 |
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| 摘 要： | 针对基本粒子群算法易陷入局部极小点、搜索精度不高等缺点，在算法改进方面引用差分演化算法的变异操作提出了差分演化的PSO算法，并用matlab仿真证明该算法的可行性。
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| 关 键 词： | 微粒群 优化算法 智能优化 差分演化 |
| 文章编号： | 1671-1819(2007)08-1628-04 |
| 收稿时间： | 2006-11-28 |
| 修稿时间： | 2006-11-28 |
Particle Swarm Optimization Based on Differential Evolution |
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| LIAO Jing,Shen Qun-tai. Particle Swarm Optimization Based on Differential Evolution[J]. Science Technology and Engineering, 2007, 7(8): 1628-16301656 |
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| Authors: | LIAO Jing Shen Qun-tai |
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| Abstract: | Basic theories,contemporary research status and developing trend of particle swarm optimization(PSO)are illustrated.Then,major problems in the theory and application research of swarm intelligence in current stage are discussed.Problems related to basic characteristic and parameters setting are discussed in this dissertation.Absorbed the aberrance operate in differential evolution,a new particle swarm optimization algorithms is designed and proved by matlab. |
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| Keywords: | particle swarm optimization algorithms intelligence optimization differential evolution |
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