SciELO - Scientific Electronic Library Online

vol.41 número2Formulation of water in paraffin emulsionsTesting of an opto-electronic sensor for the high-throughput measurement of seed spatial distributions índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados



  • No hay articulos citadosCitado por SciELO

Links relacionados

  • No hay articulos similaresSimilares en SciELO


Latin American applied research

versión impresa ISSN 0327-0793


SCHWEICKARDT, G.A.; MIRANDA, V.  y  WIMAN, G.. A comparison of metaheuristics algorithms for combinatorial optimization problems. Application to phase balancing in electric distribution systems. Lat. Am. appl. res. [online]. 2011, vol.41, n.2, pp. 113-120. ISSN 0327-0793.

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.

Palabras clave : Metaheuristic Algorithm; Swarm Intelligence; Fuzzy Sets; Electric Distribution; Phase Balancing.

        · texto en Inglés     · Inglés ( pdf )


Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License