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Modified superformula contours optimized via genetic algorithms for exponentially converging 2D solutions of MFIE

机译:通过遗传算法优化的修正超公式轮廓,用于指数收敛的MFIE二维解决方案

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An infinitely smooth parametrical representation with derivatives of all orders is used, resulting into exponentially converging solutions of magnetic field integral equation (MFIE) in 2D either for TM or TE polarized excitations. A version of super formula modified for this purpose has been subject to optimization of its parameters via genetic algorithms to provide smooth parameterization for a desired boundary in two-dimensional problems. The organization of the MFIE kernel and convergence of the solution will be presented.
机译:使用具有所有阶数导数的无限平滑参数表示法,从而得到TM或TE极化激励的二维磁场积分方程(MFIE)的指数收敛解。为此,经过修改的一种超级公式的版本已通过遗传算法对其参数进行了优化,以为二维问题中的所需边界提供平滑的参数化。将会介绍MFIE内核的组织和解决方案的融合。

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