國立高雄大學圖資館 |

Language: English

Back

Nature-inspired algorithms and appli...

SpringerLink (Online service)

Nature-inspired algorithms and applied optimization

Record Type:	Electronic resources : Monograph/item
Title/Author:	Nature-inspired algorithms and applied optimizationedited by Xin-She Yang.
other author:	Yang, Xin-She.
Published:	Cham :Springer International Publishing :2018.
Description:	xi, 330 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Natural computation.
Online resource:	http://dx.doi.org/10.1007/978-3-319-67669-2
ISBN:	9783319676692$q(electronic bk.)

Nature-inspired algorithms and applied optimization
Nature-inspired algorithms and applied optimization[electronic resource] /edited by Xin-She Yang. - Cham :Springer International Publishing :2018. - xi, 330 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.7441860-949X ;. - Studies in computational intelligence ;v. 216..

Mathematical Analysis of Nature-Inspired Algorithms -- A Review of No Free Lunch Theorems, and their Implications for Metaheuristic Optimisation -- Global Convergence Analysis of Cuckoo Search Using Markov Theory -- On Effeciently Solving the Vehicle Routing Problem with Time Windows Using the Bat Algorithm -- Variants of the Flower Pollination Algorithm: A Review.

This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms. Topics include ant colony optimization, the bat algorithm, B-spline curve fitting, cuckoo search, feature selection, economic load dispatch, the firefly algorithm, the flower pollination algorithm, knapsack problem, octonian and quaternion representations, particle swarm optimization, scheduling, wireless networks, vehicle routing with time windows, and maximally different alternatives. This timely book serves as a practical guide and reference resource for students, researchers and professionals.

ISBN: 9783319676692$q(electronic bk.)

Standard No.: 10.1007/978-3-319-67669-2doiSubjects--Topical Terms:

339160
Natural computation.

LC Class. No.: QA76.9.N37

Dewey Class. No.: 006.38

Nature-inspired algorithms and applied optimization
LDR:02438nmm a2200325 a 4500 001 528740
003 DE-He213
005 20180620120404.0
006 m d
007 cr nn 008maaau
008 181030s2018 gw s 0 eng d
020 $a 9783319676692$q(electronic bk.)
020 $a 9783319676685$q(paper)
024 7 $a 10.1007/978-3-319-67669-2 $2 doi
035 $a 978-3-319-67669-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.N37
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 006.38 $2 23
090 $a QA76.9.N37 $b N285 2018
245 0 0 $a Nature-inspired algorithms and applied optimization $h [electronic resource] / $c edited by Xin-She Yang.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xi, 330 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.744
505 0 $a Mathematical Analysis of Nature-Inspired Algorithms -- A Review of No Free Lunch Theorems, and their Implications for Metaheuristic Optimisation -- Global Convergence Analysis of Cuckoo Search Using Markov Theory -- On Effeciently Solving the Vehicle Routing Problem with Time Windows Using the Bat Algorithm -- Variants of the Flower Pollination Algorithm: A Review.
520 $a This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms. Topics include ant colony optimization, the bat algorithm, B-spline curve fitting, cuckoo search, feature selection, economic load dispatch, the firefly algorithm, the flower pollination algorithm, knapsack problem, octonian and quaternion representations, particle swarm optimization, scheduling, wireless networks, vehicle routing with time windows, and maximally different alternatives. This timely book serves as a practical guide and reference resource for students, researchers and professionals.
650 0 $a Natural computation. $3 339160
650 0 $a Swarm intelligence. $3 237730
650 1 4 $a Engineering. $3 210888
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Algorithms. $3 184661
650 2 4 $a Optimization. $3 274084
700 1 $a Yang, Xin-She. $3 522569
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v. 216. $3 380871
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-67669-2
950 $a Engineering (Springer-11647)