Evolutionary computation: theory and applications
Evolutionary computation is the study of computational systems which use ideas and get inspiration from natural evolution and adaptation. This book is devoted to the theory and application of evolutionary computation. It is a self-contained volume which covers both introductory material and selected...
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Singapore
World Scientific Pub. Co.
c1999
|
| Schlagworte: | |
| Online-Zugang: | FHN01 Volltext |
| Zusammenfassung: | Evolutionary computation is the study of computational systems which use ideas and get inspiration from natural evolution and adaptation. This book is devoted to the theory and application of evolutionary computation. It is a self-contained volume which covers both introductory material and selected advanced topics. The book can roughly be divided into two major parts: the introductory one and the one on selected advanced topics. Each part consists of several chapters which present an in-depth discussion of selected topics. A strong connection is established between evolutionary algorithms and traditional search algorithms. This connection enables us to incorporate ideas in more established fields into evolutionary algorithms. The book is aimed at a wide range of readers. It does not require previous exposure to the field since introductory material is included. It will be of interest to anyone who is interested in adaptive optimization and learning. People in computer science, artificial intelligence, operations research, and various engineering fields will find it particularly interesting |
| Beschreibung: | xiv, 360 p. ill |
| ISBN: | 9789812817471 9812817476 |
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| 520 | |a Evolutionary computation is the study of computational systems which use ideas and get inspiration from natural evolution and adaptation. This book is devoted to the theory and application of evolutionary computation. It is a self-contained volume which covers both introductory material and selected advanced topics. The book can roughly be divided into two major parts: the introductory one and the one on selected advanced topics. Each part consists of several chapters which present an in-depth discussion of selected topics. A strong connection is established between evolutionary algorithms and traditional search algorithms. This connection enables us to incorporate ideas in more established fields into evolutionary algorithms. The book is aimed at a wide range of readers. It does not require previous exposure to the field since introductory material is included. It will be of interest to anyone who is interested in adaptive optimization and learning. People in computer science, artificial intelligence, operations research, and various engineering fields will find it particularly interesting | ||
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:57:49Z |
| institution | BVB |
| isbn | 9789812817471 9812817476 |
| language | English |
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| physical | xiv, 360 p. ill |
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| publishDate | 1999 |
| publishDateSearch | 1999 |
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| spelling | Evolutionary computation theory and applications editor, Xin Yao Singapore World Scientific Pub. Co. c1999 xiv, 360 p. ill txt rdacontent c rdamedia cr rdacarrier Evolutionary computation is the study of computational systems which use ideas and get inspiration from natural evolution and adaptation. This book is devoted to the theory and application of evolutionary computation. It is a self-contained volume which covers both introductory material and selected advanced topics. The book can roughly be divided into two major parts: the introductory one and the one on selected advanced topics. Each part consists of several chapters which present an in-depth discussion of selected topics. A strong connection is established between evolutionary algorithms and traditional search algorithms. This connection enables us to incorporate ideas in more established fields into evolutionary algorithms. The book is aimed at a wide range of readers. It does not require previous exposure to the field since introductory material is included. It will be of interest to anyone who is interested in adaptive optimization and learning. People in computer science, artificial intelligence, operations research, and various engineering fields will find it particularly interesting Evolutionary computation Evolutionary programming (Computer science) Genetic algorithms Yao, Xin 1962- Sonstige oth Erscheint auch als Druck-Ausgabe 9789810223069 Erscheint auch als Druck-Ausgabe 9810223064 http://www.worldscientific.com/worldscibooks/10.1142/2792#t=toc Verlag URL des Erstveroeffentlichers Volltext |
| spellingShingle | Evolutionary computation theory and applications Evolutionary computation Evolutionary programming (Computer science) Genetic algorithms |
| title | Evolutionary computation theory and applications |
| title_auth | Evolutionary computation theory and applications |
| title_exact_search | Evolutionary computation theory and applications |
| title_full | Evolutionary computation theory and applications editor, Xin Yao |
| title_fullStr | Evolutionary computation theory and applications editor, Xin Yao |
| title_full_unstemmed | Evolutionary computation theory and applications editor, Xin Yao |
| title_short | Evolutionary computation |
| title_sort | evolutionary computation theory and applications |
| title_sub | theory and applications |
| topic | Evolutionary computation Evolutionary programming (Computer science) Genetic algorithms |
| topic_facet | Evolutionary computation Evolutionary programming (Computer science) Genetic algorithms |
| url | http://www.worldscientific.com/worldscibooks/10.1142/2792#t=toc |
| work_keys_str_mv | AT yaoxin evolutionarycomputationtheoryandapplications |