Bayesian Heuristic Approach to Discrete and Global Optimization: Algorithms, Visualization, Software, and Applications

by Jonas Mockus, Gintaras Reklaitis, William Eddy

Book Overview

Bayesian decision theory is known to provide an effective framework for the practical solution of discrete and nonconvex optimization problems. This book is the first to demonstrate that this framework is also well suited for the exploitation of heuristic methods in the solution of such problems, especially those of large scale for which exact optimization approaches can be prohibitively costly. The book covers all aspects ranging from the formal...

• Format: Hardcover
• Language: English
• ISBN: 0792343271
• ISBN13: 9780792343271
• Release Date: December 1996
• Publisher: Springer
• Length: 397 Pages
• Weight: 1.68 lbs.
• Dimensions: 0.9" x 6.1" x 9.2"