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This paper presents the extension of the meta particle swarm optimization (Meta-PSO) evolutionary algorithms to the multi-objective optimization of electromagnetic structures. Particle swarm optimization (PSO) is a global stochastic optimization technique in which the parameter space of the function to be optimized is spanned by particles whose behavior simulates that of a swarm. In the standard PSO...
A novel parallel approach to run standard particle swarm optimization (SPSO) on Graphic Processing Unit (GPU) is presented in this paper. By using the general-purpose computing ability of GPU and based on the software platform of Compute Unified Device Architecture (CUDA) from NVIDIA, SPSO can be executed in parallel on GPU. Experiments are conducted by running SPSO both on GPU and CPU, respectively,...
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