EVOLUTIONARY ALGORITHM BASED ON SIMULATED ANNEALING FOR THE MULTI-OBJECTIVE OPTIMIZATION OF COMBINATORIAL PROBLEMS

This paper states a novel hybrid-metaheuristic based on the Theory of Deterministic Swapping, Theory of Evolution and Simulated Annealing Meta-heuristic for the multi-objective optimization of combinatorial problems. The proposed algorithm is named EMSA. It is an improvement of MODS algorithm. Unlik...

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Veröffentlicht in:International Journal of Combinatorial Optimization Problems and Informatics
Hauptverfasser: Elias D. Nino Ruiz, Henry Nieto Parra, Anangelica Isabel Chinchilla Camargo
Format: Artigo
Sprache:Inglês
Veröffentlicht: International Journal of Combinatorial Optimization Problems and Informatics 2013
Schlagworte:
Computación
Multi
Genetic Algorithms
Simulated Annealing
objective Optimization
Combinatorial Optimization
Online Zugang:https://www.redalyc.org/articulo.oa?id=265229633005
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