High-speed, automatic and optimal design of microwave filter using genetic algorithms

Automatic design optimizations using the evolutional computing such as genetic algorithms (GAs) are applied to many practical problems. However, it is necessary to speed up calculations by a parallel processing technique since evaluations of fitness in GA take much time. In this paper, we discuss two kinds of genetic algorithm, parameter-free GA and micro-GA, whose parallelization are proposed and compared with each other for the automatic and optimal design of dichroic filters using the finite-difference time-domain technique.