DNPSO: A Dynamic Niching Particle Swarm Optimizer for multi-modal optimization
作者： Ahmad Nickabadi , Mohammad Mehdi Ebadzadeh , Reza Safabakhsh
关键词: Mathematical optimization 、 Benchmark (computing) 、 Population 、 Evolutionary computation 、 Particle swarm optimizer 、 Computer science 、 Modal 、 Particle swarm optimization 、 Multi-swarm optimization 、 Global optimization algorithm
摘要: In this paper, a new variant of the PSO algorithm called dynamic niching particle swarm optimizer (DNPSO) is proposed. Similar to basic PSO, DNPSO global optimization in which main population particles divided into some sub-swarms and group free particles. A sub-swarm forming This form creation, combined with implement cognition-only model brings about great balance between exploration exploitation characteristics standard PSO. tested well-known widely used benchmark functions results are compared several PSO-based multi-modal methods. The show that all cases, provides best solutions.
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