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Local Search in Combinatorial Optimization by Emile Aarts 9780691115221

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Description

In the past three decades, local search has grown from a simple heuristic idea into a mature field of research in combinatorial optimization that is attracting ever-increasing attention. Local search is still the method of choice for NP-hard problems as it provides a robust approach for obtaining high-quality solutions to problems of a realistic size in reasonable time. Local Search in Combinatorial Optimization covers local search and its variants from both a theoretical and practical point of view, each topic discussed by a leading authority. This book is an important reference and invaluable source of inspiration for students and researchers in discrete mathematics, computer science, operations research, industrial engineering, and management science. In addition to the editors, the contributors are Mihalis Yannakakis, Craig A. Tovey, Jan H. M. Korst, Peter J. M. van Laarhoven, Alain Hertz, Eric Taillard, Dominique de Werra, Heinz Muhlenbein, Carsten Peterson, Bo Soderberg, David S. Johnson, Lyle A. McGeoch, Michel Gendreau, Gilbert Laporte, Jean-Yves Potvin, Gerard A. P. Kindervater, Martin W. P. Savelsbergh, Edward J. Anderson, Celia A. Glass, Chris N. Potts, C. L. Liu, Peichen Pan, Iiro Honkala, and Patric R. J. Ostergard.

[This] is the best current reference for local search methods. I would expect this volume to remain an important reference for quite a number of years. -- William J. Cook, Georgia Institute of Technology

About the Author
Emile Aarts is Vice-President and Scientific Program Director of the Philips Research Laboratories, Eindhoven, and a Professor of Computer Science at Eindhoven University of Technology. Jan Karel Lenstra is the John P. Hunter Chair and Professor of Industrial and Systems Engineering at the Georgia Institute of Technology.

Reviews
"A truly remarkable and unique collection of work... Invaluable."--Informs "The world of local search has changed dramatically in the last decade and Aarts and Lenstra's book is a tribute to this development... A very useful source."--Optima



Book Information
ISBN 9780691115221
Author Emile Aarts
Format Paperback
Page Count 528
Imprint Princeton University Press
Publisher Princeton University Press
Weight(grams) 709g

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