| 粒子群优化算法 |
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| 引用本文： | 李爱国,覃征,鲍复民,贺升平.粒子群优化算法[J].计算机工程与应用,2002,38(21):1-3,17. |
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| 作者姓名： | 李爱国 覃征 鲍复民 贺升平 |
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| 作者单位： | 1. 西安交通大学计算机系,西安,710049;西安科技学院计算机系,西安,710054
2. 西安交通大学计算机系,西安,710049 |
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| 基金项目： | 陕西省科学技术发展计划″十五″攻关资助项目(编号:2000K08-G12) |
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| 摘 要： | 粒子群优化(PSO)算法是一类随机全局优化技术,PSO算法通过粒子间的相互作用发现复杂搜索空间中的最优区域。PSO的优势在于简单容易实现而又功能强大。PSO已成为国际演化计算界研究的热点。该文介绍了基本的PSO算法、若干类改进的PSO算法及其应用,并讨论将来可能的研究内容。
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| 关 键 词： | 粒子群 优化 演化计算群 智能 |
| 文章编号： | 1002-8331-(2002)21-0001-03 |
Particle Swarm Optimization Algorithms |
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| Li Aiguo , Qin Zheng Bao Fumin He Shengping.Particle Swarm Optimization Algorithms[J].Computer Engineering and Applications,2002,38(21):1-3,17. |
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| Authors: | Li Aiguo Qin Zheng Bao Fumin He Shengping |
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| Affiliation: | Li Aiguo 1,2 Qin Zheng 1 Bao Fumin 1 He Shengping 11 |
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| Abstract: | Particle swarm optimizers are a stochastic global optimization technique.The particle swarm algorithms find optimal regions of complex search spaces through the interaction of individuals in a population of particles.Particle swarm optimizers have become the hotspot of evolutionary computation because of its excellent performance and simple for implement.In this paper,classical particle swarm optimization algorithm and its several variants and some applica-tions of the algorithms are introduced,future research issues are also discussed. |
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| Keywords: | Particle Swarm Optimization evolutionary computation Swarm Intelligence |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
