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Lieferstatus:	i.d.R. innert 5-10 Tagen versandfertig
Veröffentlichung:	Oktober 2010
Genre:	EDV / Informatik
	Algorithm / algorithmanalysisandproblemcomplexity / Algorithmen und Datenstrukturen / Algorithms / Evolution / evolutionaryalgorithm / evolutionarycomputation / Heuristics / Künstliche Intelligenz (KI) / Learning / machinelearning / Optimization / Theoretische Informatik mehr...
ISBN:	9783642063398
EAN-Code:	9783642063398
Verlag:	Springer
Einband:	Kartoniert
Sprache:	English
Serie:	Natural Computing Series
Dimensionen:	H 235 mm / B 155 mm / D 12 mm
Gewicht:	324 gr
Seiten:	208
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Evolutionary algorithms (EAs) are accepted as a mature problem-solving family of heuristics that has found its way into many important real-life problems and into leading-edge scientific research. The unique properties of spatially structured EAs evoke new dynamical features that can be harnessed to solve difficult problems faster and more efficiently. This book describes the state of the art in spatially structured EAs by using graph concepts as a unifying theme. The models, their analysis, and their empirical behavior are presented in detail. Included is new material on non-standard networked population structures such as small-world networks. The book will be of interest to advanced undergraduate and graduate students working in evolutionary computation, machine learning, and optimization, and also to researchers and professionals working in fields where the topological structures of populations and their evolution plays a role.