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...

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Bibliographic Details
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
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Physical Description:1 online resource
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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