Stochastic local search: foundations and applications
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
San Francisco, CA
Morgan Kaufmann Publishers
2005
|
| Series: | Morgan Kaufmann Series in Artificial Intelligence Ser
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| Subjects: | |
| Item Description: | Print version record |
| Physical Description: | 1 online resource (xiii, 658 pages) illustrations |
| ISBN: | 9780080498249 0080498248 |
Staff View
MARC
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| 100 | 1 | |a Hoos, Holger H. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Stochastic local search |b foundations and applications |c Holger H. Hoos, Thomas Stutzle |
| 264 | 1 | |a San Francisco, CA |b Morgan Kaufmann Publishers |c 2005 | |
| 300 | |a 1 online resource (xiii, 658 pages) |b illustrations | ||
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| 490 | 0 | |a Morgan Kaufmann Series in Artificial Intelligence Ser | |
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| 505 | 8 | |a Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems in many areas of computer science and operations research, including propositional satisfiability, constraint satisfaction, routing, and scheduling. SLS algorithms have also become increasingly popular for solving challenging combinatorial problems in many application areas, such as e-commerce and bioinformatics. Hoos and Stutzle offer the first systematic and unified treatment of SLS algorithms. In this groundbreaking new book, they examine the general concepts and specific instances of SLS algorithms and carefully consider their development, analysis and application. The discussion focuses on the most successful SLS methods and explores their underlying principles, properties, and features. This book gives hands-on experience with some of the most widely used search techniques, and provides readers with the necessary understanding and skills to use this powerful tool. *Provides the first unified view of the field. *Offers an extensive review of state-of-the-art stochastic local search algorithms and their applications. *Presents and applies an advanced empirical methodology for analyzing the behavior of SLS algorithms. *A companion website offers lecture slides as well as source code and Java applets for exploring and demonstrating SLS algorithms | |
| 650 | 4 | |a Programmation stochastique | |
| 650 | 4 | |a Algorithmes | |
| 650 | 4 | |a Analyse combinatoire | |
| 650 | 7 | |a MATHEMATICS / Optimization |2 bisacsh | |
| 650 | 7 | |a Algorithms |2 fast | |
| 650 | 7 | |a Combinatorial analysis |2 fast | |
| 650 | 7 | |a Stochastic programming |2 fast | |
| 650 | 7 | |a Combinatoria |2 larpcal | |
| 650 | 7 | |a Otimizacao combinatoria |2 larpcal | |
| 650 | 7 | |a Inteligencia artificial |2 larpcal | |
| 650 | 7 | |a Heuristica |2 larpcal | |
| 650 | 4 | |a Stochastic programming |a Algorithms |a Combinatorial analysis | |
| 650 | 0 | 7 | |a Stochastische Optimierung |0 (DE-588)4057625-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Lokales Suchverfahren |0 (DE-588)4368653-9 |2 gnd |9 rswk-swf |
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| 689 | 0 | |8 1\p |5 DE-604 | |
| 700 | 1 | |a Stutzle, Thomas |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Hoos, Holger H. |t Stochastic local search |d San Francisco, CA : Morgan Kaufmann Publishers, 2005 |z 1558608729 |z 9781558608726 |
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Record in the Search Index
| _version_ | 1804179160384405504 |
|---|---|
| any_adam_object | |
| author | Hoos, Holger H. |
| author_facet | Hoos, Holger H. |
| author_role | aut |
| author_sort | Hoos, Holger H. |
| author_variant | h h h hh hhh |
| building | Verbundindex |
| bvnumber | BV045342540 |
| collection | ZDB-4-ENC |
| contents | Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems in many areas of computer science and operations research, including propositional satisfiability, constraint satisfaction, routing, and scheduling. SLS algorithms have also become increasingly popular for solving challenging combinatorial problems in many application areas, such as e-commerce and bioinformatics. Hoos and Stutzle offer the first systematic and unified treatment of SLS algorithms. In this groundbreaking new book, they examine the general concepts and specific instances of SLS algorithms and carefully consider their development, analysis and application. The discussion focuses on the most successful SLS methods and explores their underlying principles, properties, and features. This book gives hands-on experience with some of the most widely used search techniques, and provides readers with the necessary understanding and skills to use this powerful tool. *Provides the first unified view of the field. *Offers an extensive review of state-of-the-art stochastic local search algorithms and their applications. *Presents and applies an advanced empirical methodology for analyzing the behavior of SLS algorithms. *A companion website offers lecture slides as well as source code and Java applets for exploring and demonstrating SLS algorithms |
| ctrlnum | (ZDB-4-ENC)ocn228030468 (OCoLC)228030468 (DE-599)BVBBV045342540 |
| dewey-full | 519.6 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.6 |
| dewey-search | 519.6 |
| dewey-sort | 3519.6 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
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| id | DE-604.BV045342540 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:15:27Z |
| institution | BVB |
| isbn | 9780080498249 0080498248 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030729243 |
| oclc_num | 228030468 |
| open_access_boolean | |
| physical | 1 online resource (xiii, 658 pages) illustrations |
| psigel | ZDB-4-ENC |
| publishDate | 2005 |
| publishDateSearch | 2005 |
| publishDateSort | 2005 |
| publisher | Morgan Kaufmann Publishers |
| record_format | marc |
| series2 | Morgan Kaufmann Series in Artificial Intelligence Ser |
| spelling | Hoos, Holger H. Verfasser aut Stochastic local search foundations and applications Holger H. Hoos, Thomas Stutzle San Francisco, CA Morgan Kaufmann Publishers 2005 1 online resource (xiii, 658 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Morgan Kaufmann Series in Artificial Intelligence Ser Print version record Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems in many areas of computer science and operations research, including propositional satisfiability, constraint satisfaction, routing, and scheduling. SLS algorithms have also become increasingly popular for solving challenging combinatorial problems in many application areas, such as e-commerce and bioinformatics. Hoos and Stutzle offer the first systematic and unified treatment of SLS algorithms. In this groundbreaking new book, they examine the general concepts and specific instances of SLS algorithms and carefully consider their development, analysis and application. The discussion focuses on the most successful SLS methods and explores their underlying principles, properties, and features. This book gives hands-on experience with some of the most widely used search techniques, and provides readers with the necessary understanding and skills to use this powerful tool. *Provides the first unified view of the field. *Offers an extensive review of state-of-the-art stochastic local search algorithms and their applications. *Presents and applies an advanced empirical methodology for analyzing the behavior of SLS algorithms. *A companion website offers lecture slides as well as source code and Java applets for exploring and demonstrating SLS algorithms Programmation stochastique Algorithmes Analyse combinatoire MATHEMATICS / Optimization bisacsh Algorithms fast Combinatorial analysis fast Stochastic programming fast Combinatoria larpcal Otimizacao combinatoria larpcal Inteligencia artificial larpcal Heuristica larpcal Stochastic programming Algorithms Combinatorial analysis Stochastische Optimierung (DE-588)4057625-5 gnd rswk-swf Lokales Suchverfahren (DE-588)4368653-9 gnd rswk-swf Stochastische Optimierung (DE-588)4057625-5 s Lokales Suchverfahren (DE-588)4368653-9 s 1\p DE-604 Stutzle, Thomas Sonstige oth Erscheint auch als Druck-Ausgabe Hoos, Holger H. Stochastic local search San Francisco, CA : Morgan Kaufmann Publishers, 2005 1558608729 9781558608726 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Hoos, Holger H. Stochastic local search foundations and applications Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems in many areas of computer science and operations research, including propositional satisfiability, constraint satisfaction, routing, and scheduling. SLS algorithms have also become increasingly popular for solving challenging combinatorial problems in many application areas, such as e-commerce and bioinformatics. Hoos and Stutzle offer the first systematic and unified treatment of SLS algorithms. In this groundbreaking new book, they examine the general concepts and specific instances of SLS algorithms and carefully consider their development, analysis and application. The discussion focuses on the most successful SLS methods and explores their underlying principles, properties, and features. This book gives hands-on experience with some of the most widely used search techniques, and provides readers with the necessary understanding and skills to use this powerful tool. *Provides the first unified view of the field. *Offers an extensive review of state-of-the-art stochastic local search algorithms and their applications. *Presents and applies an advanced empirical methodology for analyzing the behavior of SLS algorithms. *A companion website offers lecture slides as well as source code and Java applets for exploring and demonstrating SLS algorithms Programmation stochastique Algorithmes Analyse combinatoire MATHEMATICS / Optimization bisacsh Algorithms fast Combinatorial analysis fast Stochastic programming fast Combinatoria larpcal Otimizacao combinatoria larpcal Inteligencia artificial larpcal Heuristica larpcal Stochastic programming Algorithms Combinatorial analysis Stochastische Optimierung (DE-588)4057625-5 gnd Lokales Suchverfahren (DE-588)4368653-9 gnd |
| subject_GND | (DE-588)4057625-5 (DE-588)4368653-9 |
| title | Stochastic local search foundations and applications |
| title_auth | Stochastic local search foundations and applications |
| title_exact_search | Stochastic local search foundations and applications |
| title_full | Stochastic local search foundations and applications Holger H. Hoos, Thomas Stutzle |
| title_fullStr | Stochastic local search foundations and applications Holger H. Hoos, Thomas Stutzle |
| title_full_unstemmed | Stochastic local search foundations and applications Holger H. Hoos, Thomas Stutzle |
| title_short | Stochastic local search |
| title_sort | stochastic local search foundations and applications |
| title_sub | foundations and applications |
| topic | Programmation stochastique Algorithmes Analyse combinatoire MATHEMATICS / Optimization bisacsh Algorithms fast Combinatorial analysis fast Stochastic programming fast Combinatoria larpcal Otimizacao combinatoria larpcal Inteligencia artificial larpcal Heuristica larpcal Stochastic programming Algorithms Combinatorial analysis Stochastische Optimierung (DE-588)4057625-5 gnd Lokales Suchverfahren (DE-588)4368653-9 gnd |
| topic_facet | Programmation stochastique Algorithmes Analyse combinatoire MATHEMATICS / Optimization Algorithms Combinatorial analysis Stochastic programming Combinatoria Otimizacao combinatoria Inteligencia artificial Heuristica Stochastic programming Algorithms Combinatorial analysis Stochastische Optimierung Lokales Suchverfahren |
| work_keys_str_mv | AT hoosholgerh stochasticlocalsearchfoundationsandapplications AT stutzlethomas stochasticlocalsearchfoundationsandapplications |