Artificial intelligence for advanced problem solving techniques:
"This book offers scholars and practitioners cutting-edge research on algorithms and techniques such as search, domain independent heuristics, scheduling, constraint satisfaction, optimization, configuration, and planning, and highlights the relationship between the search categories and the va...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey ; New York
Information Science Reference
[2008]
|
| Schriftenreihe: | Premier reference source
|
| Schlagworte: | |
| Online-Zugang: | DE-706 DE-1049 DE-898 DE-1050 DE-83 URL des Erstveröffentlichers |
| Zusammenfassung: | "This book offers scholars and practitioners cutting-edge research on algorithms and techniques such as search, domain independent heuristics, scheduling, constraint satisfaction, optimization, configuration, and planning, and highlights the relationship between the search categories and the various ways a specific application can be modeled and solved using advanced problem solving techniques" - Provided by publisher |
| Beschreibung: | Includes bibliographical references (p. 328-358) and index |
| Beschreibung: | 1 Online-Ressource (xvii, 370 Seiten) |
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| 505 | 8 | |a Section I. Automated planning -- Chapter I. Multi-vehicle missions: architecture and algorithms for distributed online planning / Johan Balti e, Eric Bensana, Patrick Fabiani, Jean-Loup Farges, St ephane Millet, Philippe Morignot, Bruno Patin, G erald Petitjean, Gauthier Pitois, and Jean-Clair Poncet -- Chapter II. Extending classical planning for time: research trends in optimal and suboptimal temporal planning / Antonio Garrido and Eva Onaindia -- | |
| 505 | 8 | |a Section II. Constraint satisfaction and scheduling -- Chapter III. Principles of constraint processing / Roman Bart ak -- Chapter IV. Stratified constraint satisfaction networks in synergetic multi-agent simulations of language evolution / Alexander Mehler -- Chapter V. Soft-constrained linear programming support vector regression for nonlinear black-box systems identification / Zhao Lu and Jing Sun -- | |
| 505 | 8 | |a Section III. Machine learning -- Chapter VI. Reinforcement learning and automated planning: a survey / Ioannis Partalas, Dimitris Vrakas, and Ioannis Vlahavas -- Chapter VII. Induction as a search procedure / Stasinos Konstantopoulos, Rui Camacho, Nuno A. Fonseca, and V itor Santos Costa -- Chapter VIII. Single- and multi-order neurons for recursive unsupervised learning / Kiruthika Ramanathan and Sheng Uei Guan -- | |
| 505 | 8 | |a Section IV. Optimization -- Chapter IX. Optimising object classification: uncertain reasoning-based analysis using CaRBS systematic search algorithms / Malcolm J. Beynon -- Chapter X. Application of fuzzy optimization in forecasting and planning of construction industry / P. Vasant, N. Barsoum, C. Kahraman, and G. M. Dimirovski -- Chapter XI. Rank improvement optimization using PROMETHEE and trigonometric differential evolution / Malcolm J. Beynon -- | |
| 505 | 8 | |a Section V. Genetic algorithms and programming -- Chapter XII. Parallelizing genetic algorithms: a case study / Iker Gondra -- Chapter XIII. Using genetic programming to extract knowledge from artificial neural networks / Daniel Rivero, Miguel Varela, and Javier Pereira -- Compilation of references -- About the contributors -- Index | |
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Datensatz im Suchindex
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| contents | Section I. Automated planning -- Chapter I. Multi-vehicle missions: architecture and algorithms for distributed online planning / Johan Balti e, Eric Bensana, Patrick Fabiani, Jean-Loup Farges, St ephane Millet, Philippe Morignot, Bruno Patin, G erald Petitjean, Gauthier Pitois, and Jean-Clair Poncet -- Chapter II. Extending classical planning for time: research trends in optimal and suboptimal temporal planning / Antonio Garrido and Eva Onaindia -- Section II. Constraint satisfaction and scheduling -- Chapter III. Principles of constraint processing / Roman Bart ak -- Chapter IV. Stratified constraint satisfaction networks in synergetic multi-agent simulations of language evolution / Alexander Mehler -- Chapter V. Soft-constrained linear programming support vector regression for nonlinear black-box systems identification / Zhao Lu and Jing Sun -- Section III. Machine learning -- Chapter VI. Reinforcement learning and automated planning: a survey / Ioannis Partalas, Dimitris Vrakas, and Ioannis Vlahavas -- Chapter VII. Induction as a search procedure / Stasinos Konstantopoulos, Rui Camacho, Nuno A. Fonseca, and V itor Santos Costa -- Chapter VIII. Single- and multi-order neurons for recursive unsupervised learning / Kiruthika Ramanathan and Sheng Uei Guan -- Section IV. Optimization -- Chapter IX. Optimising object classification: uncertain reasoning-based analysis using CaRBS systematic search algorithms / Malcolm J. Beynon -- Chapter X. Application of fuzzy optimization in forecasting and planning of construction industry / P. Vasant, N. Barsoum, C. Kahraman, and G. M. Dimirovski -- Chapter XI. Rank improvement optimization using PROMETHEE and trigonometric differential evolution / Malcolm J. Beynon -- Section V. Genetic algorithms and programming -- Chapter XII. Parallelizing genetic algorithms: a case study / Iker Gondra -- Chapter XIII. Using genetic programming to extract knowledge from artificial neural networks / Daniel Rivero, Miguel Varela, and Javier Pereira -- Compilation of references -- About the contributors -- Index |
| ctrlnum | (OCoLC)1015885128 (DE-599)BVBBV044229382 |
| format | Electronic eBook |
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| spelling | Artificial intelligence for advanced problem solving techniques Dimitris Vrakas (Aristotle University, Greece), Ioannis PL. Vlahavas (Aristotle University, Greece) Hershey ; New York Information Science Reference [2008] © 2008 1 Online-Ressource (xvii, 370 Seiten) txt rdacontent c rdamedia cr rdacarrier Premier reference source Includes bibliographical references (p. 328-358) and index Section I. Automated planning -- Chapter I. Multi-vehicle missions: architecture and algorithms for distributed online planning / Johan Balti e, Eric Bensana, Patrick Fabiani, Jean-Loup Farges, St ephane Millet, Philippe Morignot, Bruno Patin, G erald Petitjean, Gauthier Pitois, and Jean-Clair Poncet -- Chapter II. Extending classical planning for time: research trends in optimal and suboptimal temporal planning / Antonio Garrido and Eva Onaindia -- Section II. Constraint satisfaction and scheduling -- Chapter III. Principles of constraint processing / Roman Bart ak -- Chapter IV. Stratified constraint satisfaction networks in synergetic multi-agent simulations of language evolution / Alexander Mehler -- Chapter V. Soft-constrained linear programming support vector regression for nonlinear black-box systems identification / Zhao Lu and Jing Sun -- Section III. Machine learning -- Chapter VI. Reinforcement learning and automated planning: a survey / Ioannis Partalas, Dimitris Vrakas, and Ioannis Vlahavas -- Chapter VII. Induction as a search procedure / Stasinos Konstantopoulos, Rui Camacho, Nuno A. Fonseca, and V itor Santos Costa -- Chapter VIII. Single- and multi-order neurons for recursive unsupervised learning / Kiruthika Ramanathan and Sheng Uei Guan -- Section IV. Optimization -- Chapter IX. Optimising object classification: uncertain reasoning-based analysis using CaRBS systematic search algorithms / Malcolm J. Beynon -- Chapter X. Application of fuzzy optimization in forecasting and planning of construction industry / P. Vasant, N. Barsoum, C. Kahraman, and G. M. Dimirovski -- Chapter XI. Rank improvement optimization using PROMETHEE and trigonometric differential evolution / Malcolm J. Beynon -- Section V. Genetic algorithms and programming -- Chapter XII. Parallelizing genetic algorithms: a case study / Iker Gondra -- Chapter XIII. Using genetic programming to extract knowledge from artificial neural networks / Daniel Rivero, Miguel Varela, and Javier Pereira -- Compilation of references -- About the contributors -- Index "This book offers scholars and practitioners cutting-edge research on algorithms and techniques such as search, domain independent heuristics, scheduling, constraint satisfaction, optimization, configuration, and planning, and highlights the relationship between the search categories and the various ways a specific application can be modeled and solved using advanced problem solving techniques" - Provided by publisher Datenverarbeitung Künstliche Intelligenz Artificial intelligence / Data processing Technologie (DE-588)4059276-5 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Künstliche Intelligenz (DE-588)4033447-8 s Technologie (DE-588)4059276-5 s DE-604 Vlahavas, Ioannis edt Vrakas, Dimitris edt Erscheint auch als Druck-Ausgabe 978-1-59904-705-8 Erscheint auch als Druck-Ausgabe 1-59904-705-5 Erscheint auch als Druck-Ausgabe 978-1-61692-689-2 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-59904-705-8 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Artificial intelligence for advanced problem solving techniques Section I. Automated planning -- Chapter I. Multi-vehicle missions: architecture and algorithms for distributed online planning / Johan Balti e, Eric Bensana, Patrick Fabiani, Jean-Loup Farges, St ephane Millet, Philippe Morignot, Bruno Patin, G erald Petitjean, Gauthier Pitois, and Jean-Clair Poncet -- Chapter II. Extending classical planning for time: research trends in optimal and suboptimal temporal planning / Antonio Garrido and Eva Onaindia -- Section II. Constraint satisfaction and scheduling -- Chapter III. Principles of constraint processing / Roman Bart ak -- Chapter IV. Stratified constraint satisfaction networks in synergetic multi-agent simulations of language evolution / Alexander Mehler -- Chapter V. Soft-constrained linear programming support vector regression for nonlinear black-box systems identification / Zhao Lu and Jing Sun -- Section III. Machine learning -- Chapter VI. Reinforcement learning and automated planning: a survey / Ioannis Partalas, Dimitris Vrakas, and Ioannis Vlahavas -- Chapter VII. Induction as a search procedure / Stasinos Konstantopoulos, Rui Camacho, Nuno A. Fonseca, and V itor Santos Costa -- Chapter VIII. Single- and multi-order neurons for recursive unsupervised learning / Kiruthika Ramanathan and Sheng Uei Guan -- Section IV. Optimization -- Chapter IX. Optimising object classification: uncertain reasoning-based analysis using CaRBS systematic search algorithms / Malcolm J. Beynon -- Chapter X. Application of fuzzy optimization in forecasting and planning of construction industry / P. Vasant, N. Barsoum, C. Kahraman, and G. M. Dimirovski -- Chapter XI. Rank improvement optimization using PROMETHEE and trigonometric differential evolution / Malcolm J. Beynon -- Section V. Genetic algorithms and programming -- Chapter XII. Parallelizing genetic algorithms: a case study / Iker Gondra -- Chapter XIII. Using genetic programming to extract knowledge from artificial neural networks / Daniel Rivero, Miguel Varela, and Javier Pereira -- Compilation of references -- About the contributors -- Index Datenverarbeitung Künstliche Intelligenz Artificial intelligence / Data processing Technologie (DE-588)4059276-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| subject_GND | (DE-588)4059276-5 (DE-588)4033447-8 (DE-588)4143413-4 |
| title | Artificial intelligence for advanced problem solving techniques |
| title_auth | Artificial intelligence for advanced problem solving techniques |
| title_exact_search | Artificial intelligence for advanced problem solving techniques |
| title_full | Artificial intelligence for advanced problem solving techniques Dimitris Vrakas (Aristotle University, Greece), Ioannis PL. Vlahavas (Aristotle University, Greece) |
| title_fullStr | Artificial intelligence for advanced problem solving techniques Dimitris Vrakas (Aristotle University, Greece), Ioannis PL. Vlahavas (Aristotle University, Greece) |
| title_full_unstemmed | Artificial intelligence for advanced problem solving techniques Dimitris Vrakas (Aristotle University, Greece), Ioannis PL. Vlahavas (Aristotle University, Greece) |
| title_short | Artificial intelligence for advanced problem solving techniques |
| title_sort | artificial intelligence for advanced problem solving techniques |
| topic | Datenverarbeitung Künstliche Intelligenz Artificial intelligence / Data processing Technologie (DE-588)4059276-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | Datenverarbeitung Künstliche Intelligenz Artificial intelligence / Data processing Technologie Aufsatzsammlung |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-59904-705-8 |
| work_keys_str_mv | AT vlahavasioannis artificialintelligenceforadvancedproblemsolvingtechniques AT vrakasdimitris artificialintelligenceforadvancedproblemsolvingtechniques |