# A fast and elitist multiobjective genetic algorithm: NSGA-II

@article{Deb2002AFA, title={A fast and elitist multiobjective genetic algorithm: NSGA-II}, author={Kalyanmoy Deb and Samir Agrawal and Amrit Pratap and T. Meyarivan}, journal={IEEE Trans. Evol. Comput.}, year={2002}, volume={6}, pages={182-197} }

Multi-objective evolutionary algorithms (MOEAs) that use non-dominated sorting and sharing have been criticized mainly for: (1) their O(MN/sup 3/) computational complexity (where M is the number of objectives and N is the population size); (2) their non-elitism approach; and (3) the need to specify a sharing parameter. In this paper, we suggest a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties…

## 35,640 Citations

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A new technique for alleviating overlapping solutions in the population and an affection on the spread of nondominated solutions is incorporated to enhance the capability of NSGA-II, the widely used nondominated sorting genetic algorithm with elitism.

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