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Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	Oktober 2010
Genre:	EDV / Informatik
	Applied mathematics / B / Biomathematics / Combinatorics / Combinatorics & graph theory / computer science / Computer science—Mathematics / Discrete Mathematics / Discrete Mathematics in Computer Science / Diskrete Mathematik / Genetics and Population Dynamics / Mathematical optimization / Mathematics of Computing / Maths for computer scientists / Optimierung / Optimization / Population Genetics mehr...
ISBN:	9789048169221
EAN-Code:	9789048169221
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	#20 - Mathematical Modelling: Theory and Applications
Dimensionen:	H 240 mm / B 160 mm / D
Gewicht:	501 gr
Seiten:	298
Illustration:	XIII, 298 p.
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

The success of a genetic algorithm when applied to an optimization problem depends upon several features present or absent in the problem to be solved, including the quality of the encoding of data, the geometric structure of the search space, deception or epistasis. This book deals essentially with the latter notion, presenting for the first time a complete state-of-the-art research on this notion, in a structured completely self-contained and methodical way.In particular, it contains a refresher on the linear algebra used in the text as well as an elementary introductory chapter on genetic algorithms aimed at readers unacquainted with this notion.In this way, the monograph aims to serve a broad audience consisting of graduate and advanced undergraduate students in mathematics and computer science, as well as researchers working in the domains of optimization, artificial intelligence, theoretical computer science, combinatorics and evolutionary algorithms.