Design of Multilayer Microwave Broadband Absorbers Using Central Force Optimization

Central Force Optimization (CFO) is a new multi- dimensional search metaheuristic based on the metaphor of gravita- tional kinematics. In this paper, for the flrst time, a modifled CFO algorithm is applied to the optimal design of multilayer microwave absorbers (for normal incidence) in a speciflc frequency range. Sev- eral 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 difierential evolution (SADE) algorithm and better than those found by particle swarm optimization (PSO) and gravitational search algorithm (GSA).