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Beschreibung
Cellular Genetic Algorithms defines a new class of optimization algorithms based on the concepts of structured populations and Genetic Algorithms (GAs). The authors explain and demonstrate the validity of these cellular genetic algorithms throughout the book with equal and parallel emphasis on both theory and practice. This book is a key source for studying and designing cellular GAs, as well as a self-contained primary reference book for these algorithms.
Cellular Genetic Algorithms defines a new class of optimization algorithms based on the concepts of structured populations and Genetic Algorithms (GAs). The authors explain and demonstrate the validity of these cellular genetic algorithms throughout the book with equal and parallel emphasis on both theory and practice. This book is a key source for studying and designing cellular GAs, as well as a self-contained primary reference book for these algorithms.
Zusammenfassung
Key source for studying and designing cellular GAs, as well as a self-contained primary reference book for these algorithms
Throughout the book, there is an equal and parallel emphasis on both theory and practice
Covers and provides results for both continuous and discrete problems - hence it's theoretical and application coverage is broad
Explores both academic as well as real world problems, providing balance for researchers and practitioners
Coverage includes multi-objective optimization, memetic extensions, and the relationship to new algorithms like EDAs, and high-interest-practical applications
Throughout the book, there is an equal and parallel emphasis on both theory and practice
Covers and provides results for both continuous and discrete problems - hence it's theoretical and application coverage is broad
Explores both academic as well as real world problems, providing balance for researchers and practitioners
Coverage includes multi-objective optimization, memetic extensions, and the relationship to new algorithms like EDAs, and high-interest-practical applications
Inhaltsverzeichnis
I Introduction.- to Cellular Genetic Algorithms.- The State of the Art in Cellular Evolutionary Algorithms.- II Characterizing Cellular Genetic Algorithms.- On the Effects of Structuring the Population.- Some Theory: A Selection Pressure Study on cGAs.- III Algorithmic Models and Extensions.- Algorithmic and Experimental Design.- Design of Self-adaptive cGAs.- Design of Cellular Memetic Algorithms.- Design of Parallel Cellular Genetic Algorithms.- Designing Cellular Genetic Algorithms for Multi-objective Optimization.- Other Cellular Models.- Software for cGAs: The JCell Framework.- IV Applications of cGAs.- Continuous Optimization.- Logistics: The Vehicle Routing Problem.- Telecommunications: Optimization of the Broadcasting Process in MANETs.- Bioinformatics: The DNA Fragment Assembly Problem.
Details
| Erscheinungsjahr: | 2010 |
|---|---|
| Fachbereich: | Programmiersprachen |
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
xiv
248 S. 72 s/w Illustr. 248 p. 72 illus. |
| ISBN-13: | 9781441945945 |
| ISBN-10: | 1441945946 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Alba, Enrique
Dorronsoro, Bernabe |
| Hersteller: | Springer Us |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 234 x 156 x 14 mm |
| Von/Mit: | Enrique Alba (u. a.) |
| Erscheinungsdatum: | 08.12.2010 |
| Gewicht: | 0,372 kg |