
When dealing with problems entailing time consuming finite element solutions alternative methods are sought which can reduce the number of function calls whilst preserving solution accuracy. Two different strategies for practical electromagnetic design and optimisation are presented and compared. The main features and performance of each are described and evaluated on an analytical and a physical problem.
electromagnetic design, optimisation, generalized response surface methods, Optimization problems in optics and electromagnetic theory, neural networks, Finite element, Galerkin and related methods applied to problems in optics and electromagnetic theory, finite element, Electromagnetic theory (general), fuzzy systems, evolution strategies, Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs, PDEs in connection with optics and electromagnetic theory
electromagnetic design, optimisation, generalized response surface methods, Optimization problems in optics and electromagnetic theory, neural networks, Finite element, Galerkin and related methods applied to problems in optics and electromagnetic theory, finite element, Electromagnetic theory (general), fuzzy systems, evolution strategies, Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs, PDEs in connection with optics and electromagnetic theory
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