Aplicación de algoritmos genéticos en el diseño de cavidades multialimentadas

Abstract

Genetic Algorithms are a general purpose optimization technique that in the last years have begun to be applied in electromagnetic applications design. In this article, the study of microwave cavities feeding from two feasible designs to optimize is presented: feeding by means of rectangular waveguides and by means of slotted waveguides.The pursued goal is optimizing and obtaining a series of design parameters such as the position, orientation and dimension of the waveguides and slots in the microwave heating system, in order to maximize the system adaptation. A combination of these parameters constitutes an individual, which is evaluated by means of the commercial software Microwave Studio (CST). The simulation result are the scattering parameters associated to the individual. The population determines the number of individuals that conform each generation. From the initial population, operations of selection, mutation and recombination are performed, creating new generations that replace the formers. The best individuals, in general, have greater possibilities to survive in the next generation as well as to perform a crossover with other individuals. That is the way in which the genetic algorithm searchs for the optimal solution, that is, the best adaptation.The results show that the solution depends on the number of the design parameters, on the individuals that constitute the initial population, and they also display the random component characteristic of this kind of algorithms.