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@inproceedings{Pelikan2005HierarchicalBO, title={Hierarchical Bayesian Optimization Algorithm}, author={Martin Pelikan and David E. Goldberg}, booktitle={Scalable Optimization via Probabilistic Modeling}, year={2005} }

- Published in Scalable Optimization via Probabilistic Modeling 2005
DOI:10.1007/978-3-540-34954-9_4

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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