%0 Journal Article
%T A comparison of metaheuristics algorithms for combinatorial optimization problems. Application to phase balancing in electric distribution systems
%A Schweickardt
%A G.A.
%A Miranda
%A V.
%A Wiman
%A G.
%J Latin American applied research
%D 2011
%I Scientific Electronic Library Online
%X metaheuristics algorithms are widely recognized as one of most practical approaches for combinatorial optimization problems. this paper presents a comparison between two metaheuristics to solve a problem of phase balancing in low voltage electric distribution systems. among the most representative mono-objective metaheuristics, was selected simulated annealing, to compare with a different metaheuristic approach: evolutionary particle swarm optimization. in this work, both of them are extended to fuzzy domain to modeling a multi-objective optimization, by mean of a fuzzy fitness function. a simulation on a real system is presented, and advantages of swarm approach are evidenced.
%K metaheuristic algorithm
%K swarm intelligence
%K fuzzy sets
%K electric distribution
%K phase balancing.
%U http://www.scielo.org.ar/scielo.php?script=sci_abstract&pid=S0327-07932011000200003&lng=en&nrm=iso&tlng=en