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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Εκδόθηκε σε:	International Journal of Combinatorial Optimization Problems and Informatics
Κύριοι συγγραφείς:	Elias D. Nino Ruiz, Henry Nieto Parra, Anangelica Isabel Chinchilla Camargo
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	International Journal of Combinatorial Optimization Problems and Informatics 2013
Θέματα:	Computación
Διαθέσιμο Online:	https://www.redalyc.org/articulo.oa?id=265229633005
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