Multi-criteria control system parameters optimization based on genetic algorithm

Presents a multi-parameter optimization method based on the solution of the multi-criteria optimization problem using a multi-objective constrained genetic algorithm. By incorporating the fuzzy rules in the fitness assignment procedure, the GA can simultaneously handle multiple design objectives and constraints with relative importance. Simulation results show that this algorithm can obtain acceptable solutions satisfying all constraints.