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Local Search in Combinatorial Optimization
Abstract
From the Publisher: In the past three decades local search has grown from a simple heuristic idea into a mature field of research in combinatorial optimization. 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 a reasonable time. This area of discrete mathematics is of great practical use and is attracting ever increasing attention. The contributions to this book cover local search and its variants from both a theoretical and practical point of view, each with a chapter written by leading authorities on that particular aspect. This book is an important reference volume and an invaluable source of inspiration for advanced students and researchers in discrete mathematics, computer science, operations research, industrial engineering and management science.
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Citations
Cited by
Hoos (2000) · doi:10.1016/s0167-739x(00)00043-1 · Cited by 2,737
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López-Ibáñez, M., Dubois-Lacoste, J., Pérez Cáceres, L., Birattari, M., & Stützle, T. (2016) · Operations Research Perspectives · doi:10.1016/j.orp.2016.09.002 · Cited by 1,761
Schaeffer, S. E. (2007) · Computer Science Review · doi:10.1016/j.cosrev.2007.05.001 · Cited by 1,639
Selecting and scheduling observations of agile satellites
Lemaı̂tre, M., Verfaillie, G., Jouhaud, F., Lachiver, J.-M., & Bataille, N. (2002) · Aerospace Science and Technology · doi:10.1016/s1270-9638(02)01173-2 · Cited by 472
An Ant Colony System Hybridized with a New Local Search for the Sequential Ordering Problem
Gambardella, L. M., & Dorigo, M. (2000) · INFORMS Journal on Computing · doi:10.1287/ijoc.12.3.237.12636 · Cited by 373
Metadata
- Venue
- Princeton University Press eBooks
- Publisher
- Princeton University Press
- Published
- 2003-12-31
- OpenAlex
- W2106371135
- Cited by
- 2,057
- References
- 0
- FWCI
- 61.55
- Type
- book
- Language
- en
- Open access
- closed
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