A comparison of metaheuristics algorithms for combinatorial optimization problems. application to phase balancing in electric distribution systems

Artículo

A comparison of metaheuristics algorithms for combinatorial optimization problems. application to phase balancing in electric distribution systems

Schweickardt, Gustavo Alejandro et al · Planta Piloto de Ingeniería Química · 2011

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Autor / responsável

Schweickardt, Gustavo Alejandro et al

Editora

Planta Piloto de Ingeniería Química

Ano

2011

ISSN

0327-0793

ISSN

0327-0793

Idioma

Inglés

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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 multiobjective optimization, by mean of a fuzzy fitness function. A simulation on a real system is presented, and advantages of Swarm approach are evidenced. Fil: Schweickardt, Gustavo Alejandro. Fundacion Bariloche. Instituto de Economia Energetica; Argentina. Comision Nacional de Energia Atomica. Gerencia del Area de Investigaciones y Aplicaciones no Nucleares. Gerencia de Fisica (CAB); Argentina Fil: Miranda, V.. Universidad de Porto; Portugal

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APA 7

Schweickardt, G. A. E. A. (2011). A comparison of metaheuristics algorithms for combinatorial optimization problems. application to phase balancing in electric distribution systems. http://hdl.handle.net/11336/9486

MLA

Schweickardt, Gustavo Alejandro et al. "A comparison of metaheuristics algorithms for combinatorial optimization problems. application to phase balancing in electric distribution systems." 2011. http://hdl.handle.net/11336/9486.

Chicago

Schweickardt, Gustavo Alejandro et al. 2011. "A comparison of metaheuristics algorithms for combinatorial optimization problems. application to phase balancing in electric distribution systems.". http://hdl.handle.net/11336/9486.

Harvard

Schweickardt, G. A. E. A. 2011, A comparison of metaheuristics algorithms for combinatorial optimization problems. application to phase balancing in electric distribution systems, Planta Piloto de Ingeniería Química, available at: http://hdl.handle.net/11336/9486 [Accessed 5 Aug. 2026].

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Título: A comparison of metaheuristics algorithms for combinatorial optimization problems. application to phase balancing in electric distribution systems

Autor / colaboradores: Schweickardt, Gustavo Alejandro et al

Editora: Planta Piloto de Ingeniería Química

Ano de publicação: 2011

ISSN: 0327-0793

ISSN: 0327-0793

Idioma: Inglés

Assuntos

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Metaheuristic Algorithm; Swarm Intelligence; Fuzzy Sets; Electric Distribution; Phase Balancing; https://purl.org/becyt/ford/5.2; https://purl.org/becyt/ford/5