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Cellular Genetic Algorithms
Enrique Alba, Bernabe Dorronsoro (Gebundene Ausgabe, Englisch)
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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. This class of genetic algorithms is shown to produce impressive results on a whole range of domains, including complex problems that are… epistatic, multi-modal, deceptive, discrete, continuous, multi-objective, and random in nature. The focus of this book is twofold. On the one hand, the authors present new algorithmic models and extensions to the basic class of Cellular GAs in order to tackle complex problems more efficiently. On the other hand, practical real world tasks are successfully faced by applying Cellular GA methodologies to produce workable solutions of real-world applications. These methods can include local search (memetic algorithms), cooperation, parallelism, multi-objective, estimations of distributions, and self-adaptive ideas to extend their applicability. The methods are benchmarked against well-known metaheuristics like Genetic Algorithms, Tabu Search, heterogeneous GAs, Estimation of Distribution Algorithms, etc. Also, a publicly available software tool is offered to reduce the learning curve in applying these techniques. The three final chapters will use the classic problem of “vehicle routing” and the hot topics of “ad-hoc mobile networks” and “DNA genome sequencing” to clearly illustrate and demonstrate the power and utility of these algorithms. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
06.06.2008
Sprache
Englisch
EAN
9780387776095
Herausgeber
Springer US
Serien- oder Bandtitel
Operations Research/Computer Science Interfaces Series
Sonderedition
Nein
Autor
Enrique Alba, Bernabe Dorronsoro
Seitenanzahl
248
Einbandart
Gebundene Ausgabe
Schlagwörter
Optimization algorithm, Optimization algorithms, algorithm, algorithms, bioinformatics, communication, evolutionary algorithm, genetic algorithms, metaheuristic, multi-objective optimization, optimization
Thema-Inhalt
PBKS - Numerische Mathematik
KJT - Unternehmensforschung
KJMD - Management: Entscheidungstheorie
PSAJ - Evolution
UMB - Algorithmen und Datenstrukturen
KJMV - Management spezifischer Bereiche
PBU - Optimierung
Höhe
235 mm
Breite
15.5 cm
Hersteller: Humana, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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