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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Vydáno v:	International Journal of Combinatorial Optimization Problems and Informatics
Hlavní autoři:	Elias D. Nino Ruiz, Henry Nieto Parra, Anangelica Isabel Chinchilla Camargo
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	International Journal of Combinatorial Optimization Problems and Informatics 2013
Témata:	Computación
On-line přístup:	https://www.redalyc.org/articulo.oa?id=265229633005
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