Algoritmo genético aplicado para otimização de absorvedores de micro-ondas integrados com superfícies seletivas em frequência para aplicações stealth.

Abstract

The presente works shows a genetic algorithm developed to be used in electromagnetic absorbers for stealth technology, in this algorithm the user choose some parameters that defines what kind of optmization the program will look for. The algorithm uses as its first step some absorbers obtained in other works to decide the FSS’s models to be used as well as which parameters should be analized. The program was made with the language Python and got a low execution time when compared with full-wave analisys method. The algorithm found optimized previous solutions and can be used used to find parameter automatically in FSS envolving problems.