Local Search in Combinatorial Optimization / / ed. by Jan Karel Lenstra, Emile Aarts.

• Superior document: Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013
• MitwirkendeR: Aarts, Emile H . L.,; Aarts, Emile H. L.,; Anderson, Edward J.,; Gendreau, Michel,; Glass, Celia A.,; Hertz, Alain,; Honkala, Iiro S.,; Johnson, David S.,; Kindervater, Gerard A. P.,; Korst, Jan H. M.,; Laporte, Gilbert,; Lenstra, Jan Karel,; Liu, C. L.,; McGeoch, Lyle A.,; Mühlenbein, Heinz,; Pan, Peichen,; Peterson, Carsten,; Potts, Chris N.,; Potvin, Jean-Yves,; Savelsbergh, Martin W. P.,; Soderberg, Bö,; Taillard, Eric,; Tovey, Craig A.,; Yannakakis, Mihalis,; de Werra, Dominique,; van Laarhoven, Peter J. M.,; Östergård, Patric R. J.,
• HerausgeberIn: Aarts, Emile,; Lenstra, Jan Karel,
• Place / Publishing House: Princeton, NJ : : Princeton University Press, , [2018]; ©2003
• Year of Publication: 2018
• Language: English
• Physical Description: 1 online resource
• Other title: Frontmatter --; Table of contents --; Preface to the paperback edition --; Preface --; Contributors --; 1. Introduction --; 2. Computational complexity --; 3. Local improvement on discrete structures --; 4. Simulated annealing --; 5. Tabu search --; 6. Genetic algorithms --; 7. Artificial neural networks --; 8. The traveling salesman problem: a case study --; 9. Vehicle routing: modern heuristics --; 10. Vehicle routing: handling edge exchanges --; 11. Machine scheduling --; 12. VLSI layout synthesis --; 13. Code design --; Bibliography --; Author index --; Subject index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9780691187563; 9783110442502
• DOI: 10.1515/9780691187563?locatt=mode:legacy
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: ed. by Jan Karel Lenstra, Emile Aarts.

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 Mühlenbein, Carsten Peterson, Bo Söderberg, 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. Östergård.