Mean-Adaptive Real-Coding Genetic Algorithm and its Applications to Electromagnetic Optimization (Part Two)

Abstract

In the paper, a novel instance of the real-coding genetic algorithm (RCGA), called the Mean-adaptive real-coding genetic algorithm (MAD-RCGA), is applied along with other RCGAs, to selected problems in microwaves. The problems include the design of a microstrip dipole, the design of frequency-selective surfaces, and the design of a Yagi antenna. Apart from other things, the purpose of this paper is to compare these instances with MAD-RCGA on problems having some technical relevance.