Multiobjective hBOA, clustering, and scalability

@inproceedings{Pelikan2005MultiobjectiveHC,
  title={Multiobjective hBOA, clustering, and scalability},
  author={M. Pelikan and K. Sastry and D. Goldberg},
  booktitle={GECCO '05},
  year={2005}
}
  • M. Pelikan, K. Sastry, D. Goldberg
  • Published in GECCO '05 2005
  • Computer Science
  • This paper describes a scalable algorithm for solving multiobjective decomposable problems by combining the hierarchical Bayesian optimization algorithm (hBOA) with the nondominated sorting genetic algorithm (NSGA-II) and clustering in the objective space. It is first argued that for good scalability, clustering or some other form of niching in the objective space is necessary and the size of each niche should be approximately equal. Multiobjective hBOA (mohBOA) is then described that combines… CONTINUE READING
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