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

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

by Jonas Mockus
     
 

This book shows how to improve well-known heuristics by randomizing and optimizing their parameters. The ten in-depth examples are designed to teach operations research and the theory of games and markets using the Internet. Each example is a simple representation of some important family of real-life problems. Remote Internet users can run the accompanying

Overview

This book shows how to improve well-known heuristics by randomizing and optimizing their parameters. The ten in-depth examples are designed to teach operations research and the theory of games and markets using the Internet. Each example is a simple representation of some important family of real-life problems. Remote Internet users can run the accompanying software. The supporting web sites include software for Java, C++, and other languages.
Audience: Researchers and specialists in operations research, systems engineering and optimization methods, as well as Internet applications experts in the fields of economics, industrial and applied mathematics, computer science, engineering, and environmental sciences.

Product Details

ISBN-13:
9781461371144
Publisher:
Springer US
Publication date:
04/30/2014
Series:
Applied Optimization Series, #41
Edition description:
Softcover reprint of the original 1st ed. 2000
Pages:
322
Product dimensions:
6.10(w) x 9.25(h) x 0.03(d)

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