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A new method of optimization recently made popular in the evolutionary computation (EC) community is introduced and applied to several electromagnetics design problems. First, a functional overview of the covariance matrix adaptation evolutionary strategy (CMA-ES) is provided. Then, CMA-ES is critiqued alongside a conventional particle swarm optimization (PSO) algorithm via the design of a wideband...
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...
Particle swarm optimization (PSO) procedure has been applied to find out a compensation for degraded pattern of a failed antenna array by amplitude only perturbation of few of the unfailed elements. The optimization technique finds the optimum amplitude levels of some of the unfailed elements in the array, so that the compensated pattern will match with the pattern of the original array, though not...
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