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International Conference on Computer and Computer Intelligence (ICCCI 2011)

Yi Xie
Yi Xie
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We describe a strategy for optimizing bi-objective combinatorial problems. Initially, we design and implement a metaheuristic of complexity O(n̂4 ) for optimizing combinatorial problems. This metaheuristic is appointing Metaheuristic Deterministic Interchange on Automata with Simulated Annealing (MIDRS - Metaheur1stica de IntercambioDeterministasobreAut1matas con RecocidoSimulado). MIDRS based its strategy on the theory of Deterministic Finite Automata Multi - Objective.

Subsequently, we analyzed the behavior of the technique by varying the weight ratio between the objective functions. Finally, MIDRS is contrasted with high-impact global metaheuristic such as, algorithms based on Ant Colony, Evolutionary Techniques and Strategies Local Search.

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