IEEJ Transactions on Electronics Information and Systems · 2005 · 10 citations · 2 references
Natural SciencesMathematicsOptimizationProcess DynamicsSystem DynamicsAdaptive ControlDynamic OptimizationEvolutionary ComputationEvolutionary OptimizationHeuristic OptimizationPopulation-based SearchAdaptive AlgorithmsAdaptive OptimizationAdaptive Parameter ControlParameter ControlParticle Swarm ControlParticle Swarm OptimizationTuningVelocity
This paper describes an adaptive strategy for tuning the parameters of the PSO method based on an analysis of the dynamics of PSO. This adaptive tuning strategy is based on the results of an analysis of the dynamics of average velocity of the particles with successful search processes. The feasibility and advantages of the proposed adaptive PSO method are demonstrated through numerical simulations using a typical global optimization test problem.
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