This chapter presents design cases from different microwave structure cases. The problem of a planar microwave absorber design lies in the minimization of the reflection coefficient of an incident plane wave in a multilayer structure for a desired range of angles and frequencies. The reflection coefficient depends on the thickness and the electric and magnetic properties of each layer. Several studies, which address this problem, exist in the literature. Evolutionary algorithms (EAs) like genetic algorithms (GAs) have been in several occasions applied in absorber design. In, a microGA algorithm with a predefined materials database was applied. The major drawback of a GA approach is the difficulty in implementation due to the algorithm-inherited complexity and the required long computational time. Moreover, the application of swarm intelligence optimizers in electromagnetic (EM) design problems has attracted several researchers. Particle swarm optimization (PSO) has also been used successfully in absorber design problems. Recently, artificial bee colony (ABC)has been applied in several cases to microwave absorber design. Differential evolution (DE) has also been applied to absorber design problem. A comparative study between PSO and DE for the microwave absorber design problems is reported. Moreover, other emerging nature-inspired algorithms have been deployed in the literature for solving the abovementioned problem.
Microwave structures design using EAs, Page 1 of 2
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