Design of multilayer microwave broadband absorbers using central force optimization

Abstract

Central Force Optimization (CFO) is a new multidimensional search metaheuristic based on the metaphor of gravitational kinematics. In this paper, for the first time, a modified CFO algorithm is applied to the optimal design of multilayer microwave absorbers (for normal incidence) in a specific frequency range. Several numerical examples are presented, in which the CFO results are compared with those found by other evolutionary algorithms. It is shown that the CFO results are comparable to those found by the self-adaptive differential evolution (SADE) algorithm and better than those found by particle swarm optimization (PSO) and gravitational search algorithm (GSA).