Multi-Objective Simulated Annealing Algorithms for General Problems

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Author(s): Juan Frausto Solís (Tecnológico Nacional de México, Mexico), Héctor Joaquín Fraire (Tecnológico Nacional de México, Mexico), José Carlos Soto-Monterrubio (Tecnológico Nacional de México, Mexico)and Rodolfo Pazos-Rangel (Tecnológico Nacional de México, Mexico)
Copyright: 2016
Pages: 13
Source title: Handbook of Research on Military, Aeronautical, and Maritime Logistics and Operations
Source Author(s)/Editor(s): Alberto Ochoa-Zezzatti (Juarez City University, Mexico), Jöns Sánchez (Consejo Nacional De Ciencie Y Tecnologia (CONACYT), Mexico), Miguel Gastón Cedillo-Campos (Transportation Systems and Logistics National Laboratory, Mexican Institute of Transportation, Mexico)and Margain de Lourdes (Polytechnic University of Aguascalientes, Mexico)
DOI: 10.4018/978-1-4666-9779-9.ch014

Keywords: Business & Management / Business Science Reference / Management Science / Operations and Service Management

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Abstract

Simulated Annealing is an analogy with the annealing of solids, which foundations come from a physical area known as statistical mechanics. This chapter presents a review of the literature on multi-objective simulated annealing (MOSA). There are several multi-objective approaches to solve optimization problems with simulated annealing such as hybridizations, implementation of strategies from different metaheuristics. Modern MOSA research includes populations and adaptive rules, and are briefly described in this chapter. We discuss different approaches in multi-objective and we revise the modern MOSA framework.

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