A meta-heuristic based on simulated annealing for solving multiple-objective problems in simulation optimization
EA Avello, FF Baesler… - Proceedings of the 2004 …, 2004 - ieeexplore.ieee.org
EA Avello, FF Baesler, RJ Moraga
Proceedings of the 2004 Winter Simulation Conference, 2004., 2004•ieeexplore.ieee.orgThis paper presents a new meta heuristic algorithm based on the search method called
simulated annealing, and its application to solving multiobjective simulation optimization
problems. Since the simulated annealing search method has been extensively applied as a
modern heuristic to solve single objective simulation optimization problems, a modification
to this method has been developed in order to solve multiobjective problems. The efficiency
of this new algorithm was tested on a real case problem modeled under discrete simulation.
simulated annealing, and its application to solving multiobjective simulation optimization
problems. Since the simulated annealing search method has been extensively applied as a
modern heuristic to solve single objective simulation optimization problems, a modification
to this method has been developed in order to solve multiobjective problems. The efficiency
of this new algorithm was tested on a real case problem modeled under discrete simulation.
This paper presents a new meta heuristic algorithm based on the search method called simulated annealing, and its application to solving multiobjective simulation optimization problems. Since the simulated annealing search method has been extensively applied as a modern heuristic to solve single objective simulation optimization problems, a modification to this method has been developed in order to solve multiobjective problems. The efficiency of this new algorithm was tested on a real case problem modeled under discrete simulation.
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