Efficient procedures for the optimization of frequency selective surfaces

Eight different optimization algorithms are applied to determine the best configuration of a patch unit cell of a frequency selective surface used as a radar absorbing material. The algorithms include seven stochastic binary optimizers, which are based on the concept of genetic algorithms and evolutionary strategies as well as one quasi-deterministic optimizer based on an algorithm inspired by hill-climbing strategies. The comparison of results obtained from each algorithm shows the very high probability of finding global optima when a special microgenetic and a special quasi-deterministic algorithm is applied.