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The standard PSO has problems with consistently converging to good solutions, especially for multimodal functions. The reason for PSO failing to find (global) optima is premature convergence. Also, it has been shown in many empirical studies that PSO algorithms lack exploitation abilities. In this paper, we propose a hybrid of particle swarm optimization and local search, in which a standard PSO algorithm...
In view of Hydraulic Automatic Position Control (HAPC) with uncertainty and nonlinearity, the model of HAPC system is established. Then, a controller independent on the model is designed. And particle swarm optimization (PSO) is presented for parameters optimization of the ADRC controller. Finally, ADRC optimized by PSO is selected as the controller for HAPC system and the simulation results show...
A specialized global path planning algorithm for mobile robot based on Guaranteed Convergence Particle Swarm Optimization (GCPSO) is proposed. An environmental map was set up and a path connecting the start node and the goal node was coded as a particle. Then, a particular “active region” for particles was mapped out according to the location of obstacles. The initial particle population was generated...
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