Hierarchical Bayesian Optimization Algorithm

@inproceedings{Pelikan2005HierarchicalBO,
  title={Hierarchical Bayesian Optimization Algorithm},
  author={Martin Pelikan and David E. Goldberg},
  booktitle={Scalable Optimization via Probabilistic Modeling},
  year={2005}
}
The hierarchical Bayesian optimization algorithm (hBOA) solves nearly decomposable and hierarchical optimization problems scalably by combining concepts from evolutionary computation, machine learning and statistics. Since many complex real-world systems are nearly decomposable and hierarchical, hBOA is expected to provide scalable solutions for many complex real-world problems. This chapter describes hBOA and its predecessor, the Bayesian optimization algorithm (BOA), and outlines some of the… CONTINUE READING

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