Indexed on: 29 Dec '11Published on: 29 Dec '11Published in: OPSEARCH
Non-dominating sorting genetic algorithm(NSGA-II) is a fast and elitist approach. This paper provides a brief introduction of non-dominating sorting genetic algorithm and its use for multi-objective problems. Besides providing some basic concepts and a brief description of the NSGA-II, we used it to solve the set of linear inequalities. The main advantage of using NSGA-II is that it provides multiple solutions(Pareto-optimal fronts) in one single simulation run.
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