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. Evolutionary Computation},
  year={2002},
  volume={6},
  pages={182-197}
}
Multiobjective evolutionary algorithms (EAs) that use nondominated sorting and sharing have been criticized mainly for their: 1) ( ) computational complexity (where is the number of objectives and is the population size); 2) nonelitism approach; and 3) the need for specifying a sharing parameter. In this paper, we suggest a nondominated sorting-based multiobjective EA (MOEA), called nondominated sorting genetic algorithm II (NSGA-II), which alleviates all the above three difficulties… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 34 references

Hybrid GA for multiobjective aerodynamic shape optimization

  • C. Poloni
  • Genetic Algorithms in Engineering and Computer…
  • 1997
Highly Influential
7 Excerpts

Multiobjective genetic algorithms: Problem difficulties and construction of test functions

  • inEvol. Comput. , 1999, vol. 7, pp. 205–230.
  • 1999
Highly Influential
3 Excerpts

Multiobjective evolutionary algorithms: Classifications, analyzes, and new innovations

  • D. Van Veldhuizen
  • Air Force Inst. Technol., Dayton, OH, Tech. Rep…
  • 1999
1 Excerpt

\ Comparison of multiobje tive evolutionary algorithms : Empiri al results

  • L. Thiele
  • Evolutionary algorithms for multiobje tive…
  • 1999

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