東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Evolutionary and swarm intelligence ...

Bansal, Jagdish Chand.

Linked to FindBook

Google Book

Amazon

博客來

Evolutionary and swarm intelligence algorithms

Record Type:	Electronic resources : Monograph/item
Title/Author:	Evolutionary and swarm intelligence algorithms/ edited by Jagdish Chand Bansal, Pramod Kumar Singh, Nikhil R. Pal.
other author:	Bansal, Jagdish Chand.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	x, 190 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Swarm and Evolutionary Computation -- Particle Swarm Optimization -- Artificial Bee Colony Algorithm Variants and Its Application to Colormap Quantization -- Spider Monkey Optimization Algorithm -- Genetic Algorithm and Its Advances in Embracing Memetics -- Constrained Multi-Objective Evolutionary Algorithm -- Genetic Programming for Classification and Feature Selection -- Genetic Programming for Job Shop Scheduling -- Evolutionary Fuzzy Systems: A Case Study for Intrusion Detection Systems.
Contained By:	Springer eBooks
Subject:	Swarm intelligence. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-91341-4
ISBN:	9783319913414

Evolutionary and swarm intelligence algorithms
Evolutionary and swarm intelligence algorithms[electronic resource] /edited by Jagdish Chand Bansal, Pramod Kumar Singh, Nikhil R. Pal. - Cham :Springer International Publishing :2019. - x, 190 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.7791860-949X ;. - Studies in computational intelligence ;v.779..

Swarm and Evolutionary Computation -- Particle Swarm Optimization -- Artificial Bee Colony Algorithm Variants and Its Application to Colormap Quantization -- Spider Monkey Optimization Algorithm -- Genetic Algorithm and Its Advances in Embracing Memetics -- Constrained Multi-Objective Evolutionary Algorithm -- Genetic Programming for Classification and Feature Selection -- Genetic Programming for Job Shop Scheduling -- Evolutionary Fuzzy Systems: A Case Study for Intrusion Detection Systems.

This book is a delight for academics, researchers and professionals working in evolutionary and swarm computing, computational intelligence, machine learning and engineering design, as well as search and optimization in general. It provides an introduction to the design and development of a number of popular and recent swarm and evolutionary algorithms with a focus on their applications in engineering problems in diverse domains. The topics discussed include particle swarm optimization, the artificial bee colony algorithm, Spider Monkey optimization algorithm, genetic algorithms, constrained multi-objective evolutionary algorithms, genetic programming, and evolutionary fuzzy systems. A friendly and informative treatment of the topics makes this book an ideal reference for beginners and those with experience alike.

ISBN: 9783319913414

Standard No.: 10.1007/978-3-319-91341-4doiSubjects--Topical Terms:

577800
Swarm intelligence.

LC Class. No.: Q337.3 / .E965 2019

Dewey Class. No.: 006.3824

Evolutionary and swarm intelligence algorithms
LDR:02377nmm a2200325 a 4500 001 2176375
003 DE-He213
005 20180606083656.0
006 m d
007 cr nn 008maaau
008 191121s2019 gw s 0 eng d
020 $a 9783319913414 $q (electronic bk.)
020 $a 9783319913391 $q (paper)
024 7 $a 10.1007/978-3-319-91341-4 $2 doi
035 $a 978-3-319-91341-4
040 $a GP $c GP
041 0 $a eng
050 4 $a Q337.3 $b .E965 2019
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 006.3824 $2 23
090 $a Q337.3 $b .E93 2019
245 0 0 $a Evolutionary and swarm intelligence algorithms $h [electronic resource] / $c edited by Jagdish Chand Bansal, Pramod Kumar Singh, Nikhil R. Pal.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a x, 190 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.779
505 0 $a Swarm and Evolutionary Computation -- Particle Swarm Optimization -- Artificial Bee Colony Algorithm Variants and Its Application to Colormap Quantization -- Spider Monkey Optimization Algorithm -- Genetic Algorithm and Its Advances in Embracing Memetics -- Constrained Multi-Objective Evolutionary Algorithm -- Genetic Programming for Classification and Feature Selection -- Genetic Programming for Job Shop Scheduling -- Evolutionary Fuzzy Systems: A Case Study for Intrusion Detection Systems.
520 $a This book is a delight for academics, researchers and professionals working in evolutionary and swarm computing, computational intelligence, machine learning and engineering design, as well as search and optimization in general. It provides an introduction to the design and development of a number of popular and recent swarm and evolutionary algorithms with a focus on their applications in engineering problems in diverse domains. The topics discussed include particle swarm optimization, the artificial bee colony algorithm, Spider Monkey optimization algorithm, genetic algorithms, constrained multi-objective evolutionary algorithms, genetic programming, and evolutionary fuzzy systems. A friendly and informative treatment of the topics makes this book an ideal reference for beginners and those with experience alike.
650 0 $a Swarm intelligence. $3 577800
650 0 $a Evolutionary computation. $3 582189
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
700 1 $a Bansal, Jagdish Chand. $3 3378378
700 1 $a Singh, Pramod Kumar. $3 3378379
700 1 $a Pal, Nikhil R. $3 563038
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v.779. $3 3378380
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-91341-4
950 $a Engineering (Springer-11647)