Multi-Objective Simulated Annealing Algorithms for General Problems

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.