Local Search in Combinatorial Optimization / / 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 hi...
Saved in:
Superior document: | Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013 |
---|---|
MitwirkendeR: | |
HerausgeberIn: | |
Place / Publishing House: | Princeton, NJ : : Princeton University Press, , [2018] ©2003 |
Year of Publication: | 2018 |
Language: | English |
Online Access: | |
Physical Description: | 1 online resource |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- 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