Metaheurística FEPSO aplicada a problemas de Optimización Combinatoria: Balance de Fases en Sistemas de Distribución Eléctrica

this work presents a new metaheuristic oriented to solve combinatorial optimizations problems, commonly observed in different scientific knowledge fields. it aims contribute, from the artificial intelligence, to optimal systems design, where the techniques based on classical mathematical programming are unsuccessful. the metaheuristic, called fepso (fuzzy evolutionary particle swarm optimization), integrates techniques of fuzzy optimization, swarm intelligence and evolution strategies, demonstrating an excellent ability to find global solutions. while the proposed model is the result of extensive research, their developments are discussed with the aim of incorporating them into areas of discussion and relevant education, fostering its dissemination and critical. a solution for a problem of phase balancing of a three-phase low voltage electric distribution system, disscused in the state of art, is presented.