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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...
The recent development of many new ultra-wideband (UWB) array technologies has created a demand for antenna elements that can effectively operate over similar bandwidths. For example, the polyfractal [1] and RPS [2] topologies are capable of exhibiting remarkably wide frequency bandwidths on the order of 20:1, 40:1 or even more, depending on the array size. Often, the antenna elements that are capable...
In this paper, this new algorithm is applied to an antenna optimization problem and comparisons are made to a particle swarm technique [3], demonstrating the appealing properties of CMA that make it ideally suited for electromagnetics design.
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