國立虎尾科技大學 |

Genetic algorithm essentials

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Genetic algorithm essentials/ by Oliver Kramer.
Author:	Kramer, Oliver.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	ix, 92 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Genetic algorithms. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-52156-5
ISBN:	9783319521565

Genetic algorithm essentials
Kramer, Oliver.

Genetic algorithm essentials[electronic resource] /by Oliver Kramer. - Cham :Springer International Publishing :2017. - ix, 92 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.6791860-949X ;. - Studies in computational intelligence ;v. 50. .

Part I: Foundations -- Introduction -- Genetic Algorithms -- Parameters -- Part II: Solution Spaces -- Multimodality -- Constraints -- Multiple Objectives -- Part III: Advanced Concepts -- Theory -- Machine Learning -- Applications -- Part IV: Ending -- Summary and Outlook -- Index -- References.

This book introduces readers to genetic algorithms (GAs) with an emphasis on making the concepts, algorithms, and applications discussed as easy to understand as possible. Further, it avoids a great deal of formalisms and thus opens the subject to a broader audience in comparison to manuscripts overloaded by notations and equations. The book is divided into three parts, the first of which provides an introduction to GAs, starting with basic concepts like evolutionary operators and continuing with an overview of strategies for tuning and controlling parameters. In turn, the second part focuses on solution space variants like multimodal, constrained, and multi-objective solution spaces. Lastly, the third part briefly introduces theoretical tools for GAs, the intersections and hybridizations with machine learning, and highlights selected promising applications.

ISBN: 9783319521565

Standard No.: 10.1007/978-3-319-52156-5doiSubjects--Topical Terms:

655041
Genetic algorithms.

LC Class. No.: QA402.5

Dewey Class. No.: 519.625

Genetic algorithm essentials
LDR:02133nam a2200325 a 4500 001 958416
003 DE-He213
005 20170810131730.0
006 m d
007 cr nn 008maaau
008 201118s2017 gw s 0 eng d
020 $a 9783319521565 $q (electronic bk.)
020 $a 9783319521558 $q (paper)
024 7 $a 10.1007/978-3-319-52156-5 $2 doi
035 $a 978-3-319-52156-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402.5
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 519.625 $2 23
090 $a QA402.5 $b .K89 2017
100 1 $a Kramer, Oliver. $3 683259
245 1 0 $a Genetic algorithm essentials $h [electronic resource] / $c by Oliver Kramer.
260 $a Cham : $c 2017. $b Springer International Publishing : $b Imprint: Springer,
300 $a ix, 92 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.679
505 0 $a Part I: Foundations -- Introduction -- Genetic Algorithms -- Parameters -- Part II: Solution Spaces -- Multimodality -- Constraints -- Multiple Objectives -- Part III: Advanced Concepts -- Theory -- Machine Learning -- Applications -- Part IV: Ending -- Summary and Outlook -- Index -- References.
520 $a This book introduces readers to genetic algorithms (GAs) with an emphasis on making the concepts, algorithms, and applications discussed as easy to understand as possible. Further, it avoids a great deal of formalisms and thus opens the subject to a broader audience in comparison to manuscripts overloaded by notations and equations. The book is divided into three parts, the first of which provides an introduction to GAs, starting with basic concepts like evolutionary operators and continuing with an overview of strategies for tuning and controlling parameters. In turn, the second part focuses on solution space variants like multimodal, constrained, and multi-objective solution spaces. Lastly, the third part briefly introduces theoretical tools for GAs, the intersections and hybridizations with machine learning, and highlights selected promising applications.
650 0 $a Genetic algorithms. $3 655041
650 1 4 $a Engineering. $3 561152
650 2 4 $a Computational Intelligence. $3 768837
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 593924
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v. 50. $3 720500 $3 770436
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-52156-5
950 $a Engineering (Springer-11647)