Environmental/economic dispatch using fuzzy logic controlled genetic algorithms

Abstract

The paper presents the application of a fuzzy logic controlled genetic algorithm (FCGA) to environmental/economic dispatch. The authors first propose an improved genetic algorithm with two fuzzy controllers based on some heuristics to adaptively adjust the crossover probability and mutation rate during the optimisation process. The implementation of the fuzzy crossover and mutation controllers is described. The proposed FCGA can be applied to a wide range of optimisation problems. The validity of the proposed algorithm is illustrated on environmental/economic dispatch of a six-generator system. Its performance is compared with conventional GA and the Newton–Raphson method. The results are very encouraging.