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Stochastic Local Search : Foundations and Applications.
Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems. Offering a systematic treatment of SLS algorithms, this book examines the general concepts and specific instances of SLS algorithms and considers their deve...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Burlington :
Elsevier,
2004.
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| Colección: | Morgan Kaufmann Series in Artificial Intelligence.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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|---|---|---|---|
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| 003 | OCoLC | ||
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| 008 | 090817s2004 vtu o 000 0 eng d | ||
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| 049 | |a UAMI | ||
| 100 | 1 | |a Hoos, Holger. | |
| 245 | 1 | 0 | |a Stochastic Local Search : |b Foundations and Applications. |
| 260 | |a Burlington : |b Elsevier, |c 2004. | ||
| 300 | |a 1 online resource (677 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a The Morgan Kaufmann Series in Artificial Intelligence | |
| 505 | 0 | |a Front Cover; Stochastic Local Search: Foundations and Applications; Copyright Page; Contents; Prologue; Part I: Foundations; Chapter 1. Introduction; Chapter 2. SLS Methods; Chapter 3. Generalised Local Search Machines; Chapter 4. Empirical Analysis of SLS Algorithms; Chapter 5. Search Space Structure and SLS Performance; Part II: Applications; Chapter 6. Propositional Satisfiability and Constraint Satisfaction; Chapter 7. MAX-SAT and MAX-CSP; Chapter 8. Travelling Salesman Problems; Chapter 9. Scheduling Problems; Chapter 10. Other Combinatorial Problems; Epilogue; Glossary; Bibliography. | |
| 505 | 8 | |a Index. | |
| 520 | |a Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems. Offering a systematic treatment of SLS algorithms, this book examines the general concepts and specific instances of SLS algorithms and considers their development, analysis and application. | ||
| 588 | 0 | |a Print version record. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Algorithms. | |
| 650 | 0 | |a Combinatorial analysis. | |
| 650 | 0 | |a Stochastic programming. | |
| 650 | 0 | |a Computer algorithms. | |
| 650 | 4 | |a Stochastic programming. | |
| 650 | 6 | |a Algorithmes. | |
| 650 | 6 | |a Analyse combinatoire. | |
| 650 | 6 | |a Programmation stochastique. | |
| 650 | 7 | |a algorithms. |2 aat | |
| 650 | 7 | |a Computer algorithms |2 fast | |
| 650 | 7 | |a Algorithms |2 fast | |
| 650 | 7 | |a Combinatorial analysis |2 fast | |
| 650 | 7 | |a Stochastic programming |2 fast | |
| 700 | 1 | |a Stutzle, Thomas. | |
| 758 | |i has work: |a Stochastic local search (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFWB77CRJhDGTWkqHWvDtq |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 1 | |z 9781558608726 | |
| 830 | 0 | |a Morgan Kaufmann Series in Artificial Intelligence. | |
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