國立虎尾科技大學 |

Nature-Inspired Optimizers = Theories, Literature Reviews and Applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Nature-Inspired Optimizers/ edited by Seyedali Mirjalili, Jin Song Dong, Andrew Lewis.
其他題名:	Theories, Literature Reviews and Applications /
其他作者:	Lewis, Andrew.
面頁冊數:	XVI, 238 p. 108 illus., 101 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Control and Systems Theory. -
電子資源:	https://doi.org/10.1007/978-3-030-12127-3
ISBN:	9783030121273

Nature-Inspired Optimizers = Theories, Literature Reviews and Applications /
Nature-Inspired OptimizersTheories, Literature Reviews and Applications /[electronic resource] :edited by Seyedali Mirjalili, Jin Song Dong, Andrew Lewis. - 1st ed. 2020. - XVI, 238 p. 108 illus., 101 illus. in color.online resource. - Studies in Computational Intelligence,8111860-949X ;. - Studies in Computational Intelligence,564.

Preface -- Chapter 1. Introduction to Nature-inspired Algorithms -- Chapter 2. Ant Colony Optimizer: Theory, Literature Review, and Application in AUV Path Planning.-Chapter 3. Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Network -- Chapter 4. Dragonﬂy Algorithm: Theory, Literature Review, and Application in Feature Selection -- Chapter 5. Genetic Algorithm: Theory, Literature Review, and Application in Image Reconstruction etc.

This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage.

ISBN: 9783030121273

Standard No.: 10.1007/978-3-030-12127-3doiSubjects--Topical Terms:

1211358
Control and Systems Theory.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Nature-Inspired Optimizers = Theories, Literature Reviews and Applications /
LDR:02671nam a22004095i 4500 001 1018131
003 DE-He213
005 20200702110930.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030121273 $9 978-3-030-12127-3
024 7 $a 10.1007/978-3-030-12127-3 $2 doi
035 $a 978-3-030-12127-3
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Nature-Inspired Optimizers $h [electronic resource] : $b Theories, Literature Reviews and Applications / $c edited by Seyedali Mirjalili, Jin Song Dong, Andrew Lewis.
250 $a 1st ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a XVI, 238 p. 108 illus., 101 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Computational Intelligence, $x 1860-949X ; $v 811
505 0 $a Preface -- Chapter 1. Introduction to Nature-inspired Algorithms -- Chapter 2. Ant Colony Optimizer: Theory, Literature Review, and Application in AUV Path Planning.-Chapter 3. Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Network -- Chapter 4. Dragonﬂy Algorithm: Theory, Literature Review, and Application in Feature Selection -- Chapter 5. Genetic Algorithm: Theory, Literature Review, and Application in Image Reconstruction etc.
520 $a This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage.
650 2 4 $a Control and Systems Theory. $3 1211358
650 2 4 $a Optimization. $3 669174
650 2 4 $a Artificial Intelligence. $3 646849
650 1 4 $a Computational Intelligence. $3 768837
650 0 $a Control engineering. $3 1249728
650 0 $a Mathematical optimization. $3 527675
650 0 $a Artificial intelligence. $3 559380
650 0 $a Computational intelligence. $3 568984
700 1 $a Lewis, Andrew. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 898593
700 1 $a Song Dong, Jin. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1313077
700 1 $a Mirjalili, Seyedali. $e author. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1310847
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030121266
776 0 8 $i Printed edition: $z 9783030121280
776 0 8 $i Printed edition: $z 9783030121297
830 0 $a Studies in Computational Intelligence, $x 1860-949X ; $v 564 $3 1253640
856 4 0 $u https://doi.org/10.1007/978-3-030-12127-3
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)