Hybrid Evolutionary Algorithms / Crina Grosan, Ajith Abraham, Hisao Ishibuchi editors

Contributor(s):

Material type:

TextSeries: Studies in computational intelligence ; Volume 75 | Studies in Computational Intelligence ; 75Publisher: Berlin : Springer, [2007]Copyright date: ©2007Edition: 1st edition 2007Description: xv, 404 pages : illustrationsContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9783540732969

Subject(s):

DDC classification:

22 005.1

Summary: Hybridization of evolutionary algorithms is getting popular due to their capabilities in handling several real world problems involving complexity, noisy environment, imprecision, uncertainty and vagueness. This edited volume is targeted to present the latest state-of-the-art methodologies in ’Hybrid Evolutionary Algorithms’. This book deals with the theoretical and methodological aspects, as well as various applications to many real world problems from science, technology, business or commerce. This volume comprises of 14 chapters including an introductory chapter giving the fundamental definitions and some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Gifted Books	Sai University Library General stacks		SOAI		005.1 GRO (Browse shelf(Opens below))					Available			G3040

Gifted by Professor Ajith Abraham

Includes bibliographical references and indexes

Hybridization of evolutionary algorithms is getting popular due to their capabilities in handling several real world problems involving complexity, noisy environment, imprecision, uncertainty and vagueness. This edited volume is targeted to present the latest state-of-the-art methodologies in ’Hybrid Evolutionary Algorithms’. This book deals with the theoretical and methodological aspects, as well as various applications to many real world problems from science, technology, business or commerce. This volume comprises of 14 chapters including an introductory chapter giving the fundamental definitions and some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.

There are no comments on this title.

to post a comment.