Genetic Algorithms and the Inverse Problem of Electromagnetic Radiation

Abstract

From experimental measurements of near field of any radiant device (RD) and using genetic algorithms (GA) as optimization tool for finding out the parameters of a model, carry out the search of geometric dipole structure (not necessarily unique), in order to reproduce the measurements above mentioned, with that model the far field is predicted. With any of the configurations (parameterized model) is possible to estimate the radiation in the zone of far field only modifying the distance parameter in the model. In this paper the application of the GA as a search method of a geometric configuration of elementary dipoles that solve the inverse problem of electromagnetic radiation are reported. The inverse problem of electromagnetic radiation appears as a new application in the electromagnetic compatibility area that allows estimating the far field radiation from near field measurements.

Genetic algorithms: An inevitable solution for query optimization in web mining — A review

“…Moreover, genetic algorithms have been proven successful for robust searches in complex spaces. Genetic algorithms are observed to be simple and extremely capable in their task of searching for objective improvement, though they are not just limited to the search space [1].…”

“…Despite numerous researches on optimization techniques, the typical ones are based on calculus, numerical methods, and random methods. Due to the shortcomings of the calculus based techniques and the numerical ones, random methods have increased their popularity [1].…”