… This book concentrates on the genetic algorithm (GA) approach to optimization that has …
in electromagnetics. We do not think that the GA is the best optimization algorithm for all prob…

… on using genetic algorithms to optimize antenna and scattering patterns. Genetic algorithms
… , patterned after the natural processes of genetic recombination and evolution. The algo…

… is to explore genetic algorithms and their application to a variety of electromagnetic and
electromagnetic-related problems. Section 3 gives an overview of the genetic algorithm and its …

… -level genetic algorithm (2LGA) for electromagnetic optimization. This algorithm employs the
… We proposed a genetic algorithm where in the traditional genetic algorithm optimization of a …

… The genetic algorithm (GA) is the most popular of the so-called evolutionary methods in
the electromagnetics community. Recently, a new stochastic algorithm called particle swarm …

… for aerospace electromagnetics known as the Genetic Algorithm. Genetic Algorithm (GA) …
Genetic Algorithm Optimization is sh.own to be suitable for optimizing a broad class of …

… generation for the conventional genetic algorithm with the same population size as EP, the
… : An efficient alternative to genetic algorithms for electromagnetic optimization problems,” in …

… of evolutionary algorithms, in this paper the authors introduce a new kind of hybrid method,
called genetical swarm optimization (GSO), consisting in a cooperation of genetic algorithm (…

… on a genetic algorithm to the prediction of the electromagnetic fields … A genetic algorithm
[2] is applied in order to deal with a large … of the nonlinear internal electromagnetic field. The …

In this paper, a hybrid technique for global optimization based on the genetic algorithm and
a deterministic method is presented. A potential advantage of the hybrid method compared …