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Integer Optimization by Local Search: A Domain-Independent Approach 1999 Edition
Contributor(s): Walser, Joachim P. (Author), Kautz, H. (Foreword by)
ISBN: 3540663673     ISBN-13: 9783540663676
Publisher: Springer
OUR PRICE:   $52.24  
Product Type: Paperback
Published: August 1999
Qty:
Additional Information
BISAC Categories:
- Mathematics | Linear & Nonlinear Programming
- Medical
- Computers | Intelligence (ai) & Semantics
Dewey: 519.77
LCCN: 99041061
Series: Lecture Notes in Computer Science
Physical Information: 0.35" H x 6.14" W x 9.21" (0.53 lbs) 144 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
Integer Optimization addresses a wide spectrum of practically important optimization problems and represents a major challenge for algorithmics. The goal of integer optimization is to solve a system of constraints and optimization criteria over discrete variables.
Integer Optimization by Local Search introduces a new approach to domain-independent integer optimization, which, unlike traditional strategies, is based on local search. It develops the central concepts and strategies of integer local search and describes possible combinations with classical methods from linear programming. The surprising effectiveness of the approach is demonstrated in a variety of case studies on large-scale, realistic problems, including production planning, timetabling, radar surveillance, and sports scheduling. The monograph is written for practitioners and researchers from artificial intelligence and operations research.