Produktbild: Nature-Inspired Algorithms and Applied Optimization

Nature-Inspired Algorithms and Applied Optimization

Lieferzeit: Lieferbar innerhalb 14 Tagen

181,89 €

inkl. 7 % MwSt. zzgl. Versandkosten

Studies in Computational Intelligence 744

ISBN: 3319676687
ISBN 13: 9783319676685
Herausgeber: Xin-She Yang
Verlag: Springer Verlag GmbH
Umfang: xi, 330 S., 14 s/w Illustr., 28 farbige Illustr., 330 p. 42 illus., 28 illus. in color.
Erscheinungsdatum: 18.10.2017
Auflage: 1/2018
Produktform: Gebunden/Hardback
Einband: Gebunden

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.

Artikelnummer: 2741907 Kategorie:

Beschreibung

Reviews the state-of-the-art developments in nature-inspired algorithms and optimization Presents a number of theories (no-free-lunch theorems and convergence analysis) and insights into nature-inspired algorithms Introduces algorithms with an emphasis on applied optimization in real-world applications

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