A meta-heuristic based on simulated annealing for solving multiple-objective problems in simulation optimization

This paper presents a new meta heuristic algorithm based on the search method called simulated annealing, and its application to solving multi objective simulation optimization problems. Since the simulated annealing search method has been extensively applied as a modern heuristic to solve single ob...

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Bibliographic Details
Main Authors: Avello, Eduardo A., Baesler, Felipe F., Moraga, Reinaldo J.
Format: Conference Proceeding
Language:English
Subjects:
Applied sciences
Computer science
control theory
systems
Exact sciences and technology
Simulation
Software
Online Access:Get full text
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Summary:This paper presents a new meta heuristic algorithm based on the search method called simulated annealing, and its application to solving multi objective 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 multi objective problems. The efficiency of this new algorithm was tested on a real case problem modeled under discrete simulation.
DOI:10.5555/1161734.1161830