A niched Pareto genetic algorithm for multiobjective optimization

@article{Horn1994ANP,
  title={A niched Pareto genetic algorithm for multiobjective optimization},
  author={J. Horn and Nicholas Nafpliotis and D. Goldberg},
  journal={Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence},
  year={1994},
  pages={82-87 vol.1}
}
  • J. Horn, Nicholas Nafpliotis, D. Goldberg
  • Published 1994
  • Mathematics, Computer Science
  • Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence
  • Many, if not most, optimization problems have multiple objectives. [...] Key Method We introduce the Niched Pareto GA as an algorithm for finding the Pareto optimal set. We demonstrate its ability to find and maintain a diverse "Pareto optimal population" on two artificial problems and an open problem in hydrosystems.<<ETX>>Expand Abstract
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    References

    SHOWING 1-10 OF 15 REFERENCES
    Genetic Algorithms in Search Optimization and Machine Learning
    • 55,052
    • PDF
    Multiobjec- tive optimization using the niched Pareto ge- netic algorithm. IlliGALReport No. 93005. Illi- nois Genetic Algorithms Laboratory. Univer- sity of Illinois at Urbana-Champaign
    • 1993
    Genetic algorithms in mul- timodal function optimization. MS thesis, TCGA Report No. 89002
    • abama
    • 1989
    Some experiments in machine learning using vector evaluated genetic algorithms (artificial intelligence, optimization, adaptation, pattern recognition)
    • 352
    • Highly Influential
    Tournament selection, niching, and the preservation of diversity
    • 1991