C.-H. Chen, K.W. Bosworth, and M.P. Schoen (USA)
Particle Swarm Optimization, Fuzzy Logic, Computational Intelligence, Evolutionary Algorithm
The basic Particle Swarm Optimization (PSO) algorithm has exhibited good performance across a wide set of ap plication problems. Nevertheless, an effective adaptive PSO method is still needed for multi-dimensional prob lems. This work presents an adaptive PSO (APSO) ap proach based on altering the maximum velocity at each it eration. Two thirty-dimensional benchmark problems are used in this study and a respectable performance is shown by the proposed PSO for the both problems.
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