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Latin American applied research

versión impresa ISSN 0327-0793

Resumen

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

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