Transcription of Particle swarm optimization algorithm: an overview
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Particle swarm optimization algorithm: an overview
Soft ComputDOI swarm optimization algorithm: an overviewDongshu Wang1 Dapei Tan1 Lei Liu2 Springer-Verlag Berlin Heidelberg 2017 AbstractParticle swarm optimization (PSO) is apopulation-based stochastic optimization algorithm moti-vated by intelligent collective behavior of some animals suchas flocks of birds or schools of fish. Since presented in 1995, ithas experienced a multitude of enhancements. As researchershave learned about the technique, they derived new versionsaiming to different demands, developed new applications in ahostofareas,publishedtheoreticalstudies oftheeffectsofthevarious parameters and proposed many variants of the algo-rithm.
Swarm initialization Particle fitness evaluating Calculating the individual historical optimal position Calculating the swarm historical optimal position Updating particle velocity and position according to the velocity and position updating equation Satisfying the ending condition? End No Yes Fig. 1 Flowchart of the particle swarm optimization ...
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