Real WorldApplns. of Genetic Algorithms [appl. math] by O. Roeva

By O. Roeva

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5) GHz. Given a FSS filter desired specification (f, BW), the goal of bio-inspired optimization is to find an optimal solution (εr, a) for a given fractal level k that minimizes the quadratic cost function as defined in (17). ( ) 2 ( )  f − fr pim   BW − BW pim   +  E ( i , m) =  f2 BW 2 2 (17) Application of Bio-Inspired Algorithms and Neural Networks for Optimal Design of Fractal Frequency Selective Surfaces 41 i i T The individuals pim = [ε rm , am ] evolve from the initial population given according to (18).

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