Tracking changing extrema with adaptive particle swarm optimizer
作者： A. Carlisle , G. Dozler
关键词: Particle swarm optimization 、 Tracking (particle physics) 、 Iterative method 、 Mathematical optimization 、 Maxima and minima 、 Particle swarm optimizer 、 Algorithm 、 Swarm intelligence 、 Engineering
摘要: A modification of the particle swarm optimizer (PSO) involving updating obsolete memories has been shown to be effective in locating a changing extrema. In this paper we investigate effectiveness modified PSO tracking extrema over time. We demonstrate that PSO, called adaptive reliably and accurately tracks continuously solution.
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