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Nature-inspired algorithms and appli...

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Nature-inspired algorithms and applied optimization

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Nature-inspired algorithms and applied optimizationedited by Xin-She Yang.
其他作者:	Yang, Xin-She.
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xi, 330 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Natural computation.
電子資源:	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
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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.
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