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An improved partial swarm optimization (IPSO) algorithm has been presented to overcome the defect of trapping in local optimum in the PSO algorithm. In the IPSO, swarm A is selected to do particle swarm optimization (PSO), and the maximum number of iterations should be divided into several stages, a new swarm B will be generated randomly outside of swarm A according to the constraints on specific...
An improved partial swarm optimization algorithm (IPSO) that can overcome the disadvantages of trapping in local optimum in the standard PSO algorithm is proposed for rectifier transformer optimal design. In the calculation process of IPSO, the max iteration is divided into a number of sections by control factor. At the beginning of each section, the single particle inertia weight is determined by...
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