Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	November 2010
Genre:	Naturwissensch., Medizin, Technik
	Applied mathematics / Artificial Intelligence / C / engineering / Engineering mathematics / evolutionary strategies / genetic algorithms / genetic programming / Künstliche Intelligenz / Mathematical and Computational Engineering / Mathematical and Computational Engineering Applications / multi-objective optimization / Mutation / operator / Optimization / Programming mehr...
ISBN:	9783642088926
EAN-Code:	9783642088926
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	#54 - Studies in Computational Intelligence
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	510 gr
Seiten:	318
Illustration:	XII, 318 p. 100 illus., schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

One of the main difficulties of applying an evolutionary algorithm (or, as a matter of fact, any heuristic method) to a given problem is to decide on an appropriate set of parameter values. Typically these are specified before the algorithm is run and include population size, selection rate, operator probabilities, not to mention the representation and the operators themselves. This book gives the reader a solid perspective on the different approaches that have been proposed to automate control of these parameters as well as understanding their interactions. The book covers a broad area of evolutionary computation, including genetic algorithms, evolution strategies, genetic programming, estimation of distribution algorithms, and also discusses the issues of specific parameters used in parallel implementations, multi-objective evolutionary algorithms, and practical consideration for real-world applications. It is a recommended read for researchers and practitioners of evolutionary computation and heuristic methods.