Particle swarm optimizationAn overview

被引：806
|
作者：
Riccardo Poli
James Kennedy
Tim Blackwell
机构：
[1] University of Essex,Department of Computing and Electronic Systems
[2] Goldsmiths College,Department of Computing
来源：
Swarm Intelligence | 2007年 / 1卷 / 1期
关键词：
Particle swarms; Particle swarm optimization; PSO; Social networks; Swarm theory; Swarm dynamics; Real world applications;
D O I：
10.1007/s11721-007-0002-0
中图分类号：
学科分类号：
摘要：
Particle swarm optimization (PSO) has undergone many changes since its introduction in 1995. As researchers have learned about the technique, they have derived new versions, developed new applications, and published theoretical studies of the effects of the various parameters and aspects of the algorithm. This paper comprises a snapshot of particle swarming from the authors’ perspective, including variations in the algorithm, current and ongoing research, applications and open problems.
引用
收藏
页码：33 / 57
页数：24
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