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Topology structure is a key issue for the performance of particle swarm optimization (PSO). A good structure selection may provide more chance to escape from a local optimum. In this paper, a new topology structure - Newman and Watts model is introduced to increase the performance particle swarm optimization and is called NWPSO. In NWPSO, the topology is changed according to Newman and Watts rules...
The Particle Swarm Optimization (PSO) technique, which refines its search by attracting the particles to positions with good solutions, has ever since turned out to be a competitor in the field of numerical optimization. The PSO can generate high-quality solutions within shorter computation time and have more stable convergence charactoristic than other stochastic methods. In this article, an improved...
This paper presents a particle swarm optimization (PSO) algorithm with dynamic spread factor inertia weight and its application to dynamic modeling of a flexible beam structure. In this study, system identification scheme based on PSO is formulated to obtain a dynamic model of the beam in parametric form. A PSO algorithm with dynamic spread factor inertia weight is proposed and its performance is...
An culture quantum particle swarm optimization algorithm (CQPSO) for solving the large and serious diseased matrix equation in the simulation of transistor exactly and quickly is presented. The method is composed of mathematical modeling of transistor, linear discretization treatment and solving matrix equation with CQPSO. Simulation experiment shows that simulation results based on proposed simulation...
The Particle Swarm Optimization technique (PSO), which refines its search by attracting the particles to positions with good solutions, has ever since turned out to be a competitor in the field of numerical optimization. The PSO can generate high-quality solutions within shorter computation time and have more stable convergence characteristic than other stochastic methods. In this article, Improved...
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