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Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms Paperback - 2020

by Xin-She Yang

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Paperback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; 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 practic
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Details

  • Title Nature-Inspired Optimization Algorithms
  • Author Xin-She Yang
  • Binding Paperback
  • Condition New
  • Pages 310
  • Volumes 1
  • Language ENG
  • Publisher Academic Press
  • Publication date 2020-09-14
  • Features Bibliography, Index
  • Bookseller's Inventory # ria9780128219867_inp
  • 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)
  • Category Science
  • Library of Congress subjects Mathematical optimization, Nature-inspired algorithms
  • Library of Congress Catalogue Number 2020951293
  • Quantity available 919

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Reader reviews for Nature-Inspired Optimization Algorithms

From the publisher

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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