Discrete Optimization: The State of the Art

Author:   E. Boros (Rutgers University, Center for Operations Research, Piscataway, NJ, USA) ,  P.L. Hammer (Rutgers University, Center for Operations Research, Piscataway, NJ, USA)
Publisher:   Elsevier Science & Technology
Volume:   v. 11
ISBN:  

9780444512956


Pages:   586
Publication Date:   19 March 2003
Format:   Hardback
Availability:   In Print   Availability explained
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

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Discrete Optimization: The State of the Art


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Overview

One of the most frequently occurring types of optimization problems involves decision variables which have to take integer values. From a practical point of view, such problems occur in countless areas of management, engineering, administration, etc., and include such problems as location of plants or warehouses, scheduling of aircraft, cutting raw materials to prescribed dimensions, design of computer chips, increasing reliability or capacity of networks, etc. This is the class of problems known in the professional literature as ""discrete optimization"" problems. While these problems are of enormous applicability, they present many challenges from a computational point of view. This volume is an update on the impressive progress achieved by mathematicians, operations researchers, and computer scientists in solving discrete optimization problems of very large sizes. The surveys in this volume present a comprehensive overview of the state of the art in discrete optimization and are written by the most prominent researchers from all over the world.This volume describes the tremendous progress in discrete optimization achieved in the last 20 years since the publication of Discrete Optimization '77, Annals of Discrete Mathematics, volumes 4 and 5, 1979 (Elsevier). It contains surveys of the state of the art written by the most prominent researchers in the field from all over the world, and covers topics like neighborhood search techniques, lift and project for mixed 0-1 programming, pseudo-Boolean optimization, scheduling and assignment problems, production planning, location, bin packing, cutting planes, vehicle routing, and applications to graph theory, mechanics, chip design, etc. Key features: * state of the art surveys * comprehensiveness * prominent authors * theoretical, computational and applied aspects. This book is a reprint of Discrete Applied Mathematics Volume 23, Numbers 1-3

Full Product Details

Author:   E. Boros (Rutgers University, Center for Operations Research, Piscataway, NJ, USA) ,  P.L. Hammer (Rutgers University, Center for Operations Research, Piscataway, NJ, USA)
Publisher:   Elsevier Science & Technology
Imprint:   JAI Press Inc.
Volume:   v. 11
Dimensions:   Width: 15.60cm , Height: 3.20cm , Length: 23.40cm
Weight:   1.000kg
ISBN:  

9780444512956


ISBN 10:   0444512950
Pages:   586
Publication Date:   19 March 2003
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Out of Print
Availability:   In Print   Availability explained
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

Table of Contents

"One of the most frequently occurring types of optimization problems involves decision variables which have to take integer values. From a practical point of view, such problems occur in countless areas of management, engineering, administration, etc., and include such problems as location of plants or warehouses, scheduling of aircraft, cutting raw materials to prescribed dimensions, design of computer chips, increasing reliability or capacity of networks, etc. This is the class of problems known in the professional literature as ""discrete optimization"" problems. While these problems are of enormous applicability, they present many challenges from a computational point of view. This volume is an update on the impressive progress achieved by mathematicians, operations researchers, and computer scientists in solving discrete optimization problems of very large sizes. The surveys in this volume present a comprehensive overview of the state of the art in discrete optimization and are written by the most prominent researchers from all over the world."

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