Nature-Inspired Algorithms and Applied Optimization (Paperback)

Language: English

Published by Springer International Publishing AG, Cham, 2018

3319884654 / 9783319884653

Series: Book 248 of 538 - Studies in Computational Intelligence

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Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Seller Inventory # 9783319884653

Title
Nature-Inspired Algorithms and Applied Optimization (Paperback)
Author
Xin-She Yang
Publisher
Springer International Publishing AG, Cham
Publication year
2018
Condition
new
Binding
Paperback
Language
English
ISBN 10
3319884654
ISBN 13
9783319884653
Series
Book 248 of 538: Studies in Computational Intelligence

Grand Eagle Retail

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5-star seller

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