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Academic Pr, 2020. Paperback. New. 2nd edition. 332 pages. 9.00x6.00x0.83 inches.
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Nature-Inspired Optimization Algorithms Paperback - 2020
by Xin-She Yang
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- Title Nature-Inspired Optimization Algorithms
- Author Xin-She Yang
- Binding Paperback
- Pages 310
- Volumes 1
- Language ENG
- Publisher Academic Press
- Date 2020-09-14
- Illustrated Yes
- Features Bibliography, Illustrated, Index
- ISBN 9780128219867 / 0128219866
- Weight 1.2 lbs (0.54 kg)
- Dimensions 9.1 x 7.4 x 0.8 in (23.11 x 18.80 x 2.03 cm)
- Library of Congress subjects Mathematical optimization, Nature-inspired algorithms
- Library of Congress Catalog Number 2020951293
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Nature-inspired Optimization Algorithms
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Paperback / softback. New. Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, and multi-objective optimization. This book can serve as an introductory book for graduates, for lecturers in computer science, engineering and natural sciences, and as a source of inspiration for new applications.
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New. New Book; Fast Shipping from UK; Not signed; Not First Edition; <i>Nature-Inspired Optimization Algorithms, Second Edition</i> provides an introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical bac
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