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A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach - Applied Optimization Jonas Mockus 2000 edition
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A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach - Applied Optimization
Jonas Mockus
This book shows how the Bayesian Approach (BA) improves well known heuristics by randomizing and optimizing their parameters. A theoretical setting is described in which one can discuss a Bayesian adaptive choice of heuristics for discrete and global optimization prob lems.
322 pages, biography
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