粒子群优化
惯性
多群优化
粒子(生态学)
元启发式
数学优化
期限(时间)
简单(哲学)
计算机科学
形式证明
数学
物理
经典力学
数学证明
海洋学
认识论
量子力学
地质学
哲学
几何学
作者
F. van den Bergh,Andries P. Engelbrecht
标识
DOI:10.1016/j.ins.2005.02.003
摘要
Particle swarm optimization (PSO) has shown to be an efficient, robust and simple optimization algorithm. Most of the PSO studies are empirical, with only a few theoretical analyses that concentrate on understanding particle trajectories. These theoretical studies concentrate mainly on simplified PSO systems. This paper overviews current theoretical studies, and extend these studies to investigate particle trajectories for general swarms to include the influence of the inertia term. The paper also provides a formal proof that each particle converges to a stable point. An empirical analysis of multi-dimensional stochastic particles is also presented. Experimental results are provided to support the conclusions drawn from the theoretical findings.
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