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Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms
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Nature-Inspired Optimization Algorithms Papeback -

by Xin-She Yang

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pp. 276 . Papeback. New.
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Details

  • Title Nature-Inspired Optimization Algorithms
  • Author Xin-She Yang
  • Binding Papeback
  • Edition Paperback
  • Condition New
  • Pages 300
  • Volumes 1
  • Language ENG
  • Publisher Elsevier
  • Publication date pp. 276
  • Bookseller's Inventory # 6375019621
  • ISBN 9780128100608 / 0128100605
  • Weight 0.82 lbs (0.37 kg)
  • Dimensions 9 x 6 x 0.58 in (22.86 x 15.24 x 1.47 cm)
  • Category Computers - General Information
  • Dewey Decimal Code 006
  • Quantity available 3

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Reader reviews for Nature-Inspired Optimization Algorithms

From the publisher

Nature-Inspired Optimization Algorithms provides a systematic 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 well-chosen 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, as well as multi-objective optimization.

This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference.

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