Genetic algorithms to optimize energy supply systems Original Research Article

A genetic algorithm, including crossover and mutation, has been applied to optimize energy supply systems, considering several energy demand profiles. In the crossover a “quasi-compatibility” condition is introduced, so that the constraints of the system may be taken into account, although certain violations of them are allowed at the expense of a penalty that decreases the fitness of the resulting offsprings. The genetic algorithm applied requires less computation time and provides better results than simulated annealing.