Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory is a survey of some important theoretical contributions, many of which have been proposed and developed in the Foundations of Genetic Algorithms series of workshops. However, this theoretical work is still rather fragmented, and t...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer US
2002
|
| Ausgabe: | 1st ed. 2002 |
| Schriftenreihe: | Operations Research/Computer Science Interfaces Series
20 |
| Schlagworte: | |
| Online-Zugang: | UBY01 Volltext |
| Zusammenfassung: | Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory is a survey of some important theoretical contributions, many of which have been proposed and developed in the Foundations of Genetic Algorithms series of workshops. However, this theoretical work is still rather fragmented, and the authors believe that it is the right time to provide the field with a systematic presentation of the current state of theory in the form of a set of theoretical perspectives. The authors do this in the interest of providing students and researchers with a balanced foundational survey of some recent research on GAs. The scope of the book includes chapter-length discussions of Basic Principles, Schema Theory, "No Free Lunch", GAs and Markov Processes, Dynamical Systems Model, Statistical Mechanics Approximations, Predicting GA Performance, Landscapes and Test Problems |
| Beschreibung: | 1 Online-Ressource (XI, 332 p. 4 illus) |
| ISBN: | 9780306480508 |
| DOI: | 10.1007/b101880 |
Internformat
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Datensatz im Suchindex
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| author | Reeves, Colin R. Rowe, Jonathan E. |
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| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1007/b101880 |
| edition | 1st ed. 2002 |
| format | Electronic eBook |
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| id | DE-604.BV047064479 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:12:22Z |
| indexdate | 2024-07-10T09:01:35Z |
| institution | BVB |
| isbn | 9780306480508 |
| language | English |
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| spelling | Reeves, Colin R. Verfasser aut Genetic Algorithms: Principles and Perspectives A Guide to GA Theory by Colin R. Reeves, Jonathan E. Rowe 1st ed. 2002 New York, NY Springer US 2002 1 Online-Ressource (XI, 332 p. 4 illus) txt rdacontent c rdamedia cr rdacarrier Operations Research/Computer Science Interfaces Series 20 Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory is a survey of some important theoretical contributions, many of which have been proposed and developed in the Foundations of Genetic Algorithms series of workshops. However, this theoretical work is still rather fragmented, and the authors believe that it is the right time to provide the field with a systematic presentation of the current state of theory in the form of a set of theoretical perspectives. The authors do this in the interest of providing students and researchers with a balanced foundational survey of some recent research on GAs. The scope of the book includes chapter-length discussions of Basic Principles, Schema Theory, "No Free Lunch", GAs and Markov Processes, Dynamical Systems Model, Statistical Mechanics Approximations, Predicting GA Performance, Landscapes and Test Problems Artificial Intelligence Optimization Statistics, general Operations Research/Decision Theory Artificial intelligence Mathematical optimization Statistics Operations research Decision making Genetischer Algorithmus (DE-588)4265092-6 gnd rswk-swf Genetischer Algorithmus (DE-588)4265092-6 s DE-604 Rowe, Jonathan E. aut Erscheint auch als Druck-Ausgabe 9781475778182 Erscheint auch als Druck-Ausgabe 9781402072406 Erscheint auch als Druck-Ausgabe 9781475778175 https://doi.org/10.1007/b101880 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Reeves, Colin R. Rowe, Jonathan E. Genetic Algorithms: Principles and Perspectives A Guide to GA Theory Artificial Intelligence Optimization Statistics, general Operations Research/Decision Theory Artificial intelligence Mathematical optimization Statistics Operations research Decision making Genetischer Algorithmus (DE-588)4265092-6 gnd |
| subject_GND | (DE-588)4265092-6 |
| title | Genetic Algorithms: Principles and Perspectives A Guide to GA Theory |
| title_auth | Genetic Algorithms: Principles and Perspectives A Guide to GA Theory |
| title_exact_search | Genetic Algorithms: Principles and Perspectives A Guide to GA Theory |
| title_exact_search_txtP | Genetic Algorithms: Principles and Perspectives A Guide to GA Theory |
| title_full | Genetic Algorithms: Principles and Perspectives A Guide to GA Theory by Colin R. Reeves, Jonathan E. Rowe |
| title_fullStr | Genetic Algorithms: Principles and Perspectives A Guide to GA Theory by Colin R. Reeves, Jonathan E. Rowe |
| title_full_unstemmed | Genetic Algorithms: Principles and Perspectives A Guide to GA Theory by Colin R. Reeves, Jonathan E. Rowe |
| title_short | Genetic Algorithms: Principles and Perspectives |
| title_sort | genetic algorithms principles and perspectives a guide to ga theory |
| title_sub | A Guide to GA Theory |
| topic | Artificial Intelligence Optimization Statistics, general Operations Research/Decision Theory Artificial intelligence Mathematical optimization Statistics Operations research Decision making Genetischer Algorithmus (DE-588)4265092-6 gnd |
| topic_facet | Artificial Intelligence Optimization Statistics, general Operations Research/Decision Theory Artificial intelligence Mathematical optimization Statistics Operations research Decision making Genetischer Algorithmus |
| url | https://doi.org/10.1007/b101880 |
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