Application of hybrid multi-objective genetic algorithm to economic dispatch

This paper proposed a hybrid multi-objective genetic algorithm to optimize the multi-objective problems in the economic dispatch of power system. This algorithm differed from other multi-objective genetic algorithms in its selection procedure, crossover procedure and mutation procedure. The selection procedure selected individuals for a crossover operation based on a weighted sum of multiple objective functions. The characteristic feature of the selection procedure was that the weights attached to the multiple functions were not constant but randomly specified for each selection. The crossover procedure and mutation procedure adaptively adjust the crossover probability, crossover position and mutation probability based on fuzzy logic technology. The application of this proposed algorithm to the economic dispatch was presented.