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100%: Hoos, Holger H.; Stützle, Thomas: Stochastic Local Search : Foundations & Applications (The Morgan Kaufmann Series in Artificial Intelligence) (ISBN: 9781558608726) 2004, Morgan Kaufmann, Erstausgabe, in Englisch, Broschiert.Nur diese Ausgabe anzeigen…
100%: Hoos, Holger H., Stützle, Thomas: Stochastic Local Search: Foundations & Applications (ISBN: 9781493303731) 2004, Morgan Kaufmann, Erstausgabe, in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
60%: Hoos, Holger H.;Stützle, Thomas: Stochastic Local Search (ISBN: 0237000412964) auch als eBook.Nur diese Ausgabe anzeigen…
52%: Holger H. Hoos & Thomas Stützle: Stochastic Local Search: Foundations and Applications (The Morgan Kaufmann Series in Artificial Intelligence) (ISBN: 9780080498249) 2004, Erstausgabe, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
Stochastic Local Search : Foundations & Applications (The Morgan Kaufmann Series in Artificial Intelligence)
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Bester Preis: € 21,41 (vom 09.10.2015)1
Stochastic Local Search : Foundations & Applications (The Morgan Kaufmann Series in Artificial Intelligence) (2004)
EN HCISBN: 9781558608726 bzw. 1558608729, in Englisch, Morgan Kaufmann, gebundenes Buch.
Lieferung aus: Vereinigte Staaten von Amerika, Versandkostenfrei.
Von Händler/Antiquariat, Book Deals [60506629], Lewiston, NY, U.S.A.
This Book is in Good Condition. Clean Copy With Light Amount of Wear. 100% Guaranteed. Summary: Prologue Part I. Foundations 1. Introduction 2. SLS Methods 3. Generalized Local Search Machines 4. Empirical Analysis of SLS Algorithms 5. Search Space Structure and SLS Performance Part II. Applications 6. SAT and Constraint Satisfaction 7. MAX-SAT and MAX-CSP 8. Traveling Salesman Problems 9. Scheduling Problems 10. Other Combinatorial Problems Epilogue Glossary.
Von Händler/Antiquariat, Book Deals [60506629], Lewiston, NY, U.S.A.
This Book is in Good Condition. Clean Copy With Light Amount of Wear. 100% Guaranteed. Summary: Prologue Part I. Foundations 1. Introduction 2. SLS Methods 3. Generalized Local Search Machines 4. Empirical Analysis of SLS Algorithms 5. Search Space Structure and SLS Performance Part II. Applications 6. SAT and Constraint Satisfaction 7. MAX-SAT and MAX-CSP 8. Traveling Salesman Problems 9. Scheduling Problems 10. Other Combinatorial Problems Epilogue Glossary.
2
Stochastic Local Search : Foundations & Applications (The Morgan Kaufmann Series in Artificial Intelligence) (2004)
EN HC NWISBN: 9781558608726 bzw. 1558608729, in Englisch, Morgan Kaufmann, gebundenes Buch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Versandkostenfrei.
Von Händler/Antiquariat, Book Deals [60506629], Lewiston, NY, U.S.A.
Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: Prologue Part I. Foundations 1. Introduction 2. SLS Methods 3. Generalized Local Search Machines 4. Empirical Analysis of SLS Algorithms 5. Search Space Structure and SLS Performance Part II. Applications 6. SAT and Constraint Satisfaction 7. MAX-SAT and MAX-CSP 8. Traveling Salesman Problems 9. Scheduling Problems 10. Other Combinatorial Problems Epilogue Glossary.
Von Händler/Antiquariat, Book Deals [60506629], Lewiston, NY, U.S.A.
Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: Prologue Part I. Foundations 1. Introduction 2. SLS Methods 3. Generalized Local Search Machines 4. Empirical Analysis of SLS Algorithms 5. Search Space Structure and SLS Performance Part II. Applications 6. SAT and Constraint Satisfaction 7. MAX-SAT and MAX-CSP 8. Traveling Salesman Problems 9. Scheduling Problems 10. Other Combinatorial Problems Epilogue Glossary.
3
Stochastic Local Search: Foundations & Applications (2004)
EN PB NW FEISBN: 9781493303731 bzw. 1493303732, in Englisch, 658 Seiten, Morgan Kaufmann, Taschenbuch, neu, Erstausgabe.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 24 hours.
Von Händler/Antiquariat, Amazon.com.
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 Stützle 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. Paperback, Edition: 1, Label: Morgan Kaufmann, Morgan Kaufmann, Product group: Book, Published: 2004-09-17, Release date: 2000-09-02, Studio: Morgan Kaufmann, Sales rank: 6257932.
Von Händler/Antiquariat, Amazon.com.
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 Stützle 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. Paperback, Edition: 1, Label: Morgan Kaufmann, Morgan Kaufmann, Product group: Book, Published: 2004-09-17, Release date: 2000-09-02, Studio: Morgan Kaufmann, Sales rank: 6257932.
4
Stochastic Local Search (2004)
EN NW EB DLISBN: 9780080498249 bzw. 0080498248, in Englisch, Pergamon; Pergamon Press, Vereinigte Staaten von Amerika, neu, E-Book, elektronischer Download.
Lieferung aus: Deutschland, Versandkostenfrei, Download.
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 Stützle 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.
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 Stützle 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.
5
Symbolbild
Stochastic Local Search
EN NWISBN: 9780080498249 bzw. 0080498248, in Englisch, Morgan Kaufmann Publishers, neu.
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 Stützle 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.
6
Stochastic Local Search : Foundations and Applications
EN NW EB DLISBN: 9780080498249 bzw. 0080498248, in Englisch, Elsevier Science, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Despatched same working day before 3pm.
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.
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.
7
Stochastic Local Search : Foundations & Applications (The Morgan Kaufmann Series in Artificial Intelligence) (2004)
EN HC NW FEISBN: 9781558608726 bzw. 1558608729, in Englisch, 658 Seiten, Morgan Kaufmann, gebundenes Buch, neu, Erstausgabe.
Neu ab: $68.44 (13 Angebote)
Gebraucht ab: $24.91 (16 Angebote)
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Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, Any Book.
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 Stützle 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. Hardcover, Ausgabe: 1, Label: Morgan Kaufmann, Morgan Kaufmann, Produktgruppe: Book, Publiziert: 2004-09-30, Studio: Morgan Kaufmann, Verkaufsrang: 2603018.
Von Händler/Antiquariat, Any Book.
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 Stützle 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. Hardcover, Ausgabe: 1, Label: Morgan Kaufmann, Morgan Kaufmann, Produktgruppe: Book, Publiziert: 2004-09-30, Studio: Morgan Kaufmann, Verkaufsrang: 2603018.
8
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Stochastic Local Search : Foundations & Applications (The Morgan Kaufmann Series in Artificial Intelligence) (2004)
EN NWISBN: 9781558608726 bzw. 1558608729, in Englisch, Morgan Kaufmann, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Versandkosten nach: AUT.
Von Händler/Antiquariat, Ergodebooks.
Morgan Kaufmann, 2004-09-30. 1. Hardcover. New. Buy with confidence. Excellent Customer Service & Return policy. Ships Fast. Expedite Shipping Available.
Von Händler/Antiquariat, Ergodebooks.
Morgan Kaufmann, 2004-09-30. 1. Hardcover. New. Buy with confidence. Excellent Customer Service & Return policy. Ships Fast. Expedite Shipping Available.
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Stochastic Local Search: Foundations & Applications (2004)
EN PB USISBN: 9781493303731 bzw. 1493303732, in Englisch, Morgan Kaufmann, Taschenbuch, gebraucht.
Lieferung aus: Vereinigte Staaten von Amerika, Free shipping.
Von Händler/Antiquariat, Books Express [61727479], Portsmouth, NH, U.S.A.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, Books Express [61727479], Portsmouth, NH, U.S.A.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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