Evolutionary Algorithms (EAs) are not the only search techniques that have been used to deal with multiobjective optimization problems. In fact, as other search techniques (e.g., tabu search and simulated annealing) have proved to have very good performance in many combinatorial (as well as other types of) optimization problems, it is only natural to think of extensions to such approaches to deal with multiple objectives.
KeywordsParticle Swarm Optimization Simulated Annealing Tabu Search Pareto Front Multiobjective Optimization
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