A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach

by Jonas Mockus

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This book shows how the Bayesian Approach (BA) improves well- known heuristics by randomizing and optimizing their parameters. That is the Bayesian Heuristic Approach (BHA). The ten in-depth examples are designed to teach Operations Research using Internet. Each example is a simple representation of some impor- tant family of real-life problems. The accompanying software can be run by remote Internet users. The supporting web-sites include software...

Format:Hardcover

Language:English

ISBN:0792363590

ISBN13:9780792363590

Release Date:July 2000

Publisher:Springer

Length:322 Pages

Weight:1.44 lbs.

Dimensions:0.8" x 6.1" x 9.2"

Related Subjects

Artificial Intelligence Business Business & Finance Business & Investing Computer Science Computers & Technology Economics Heuristic & Constrained Search Management & Leadership Math

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A Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach

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