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Nature-Inspired Optimization Algorithms
Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms

Product ID : 34376039


Galleon Product ID 34376039
UPC / ISBN 0128100605
Shipping Weight 0.85 lbs
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Binding: Paperback
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Manufacturer
Shipping Dimension 8.9 x 5.98 x 0.79 inches
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Author Xin-She Yang
Edition Paperback Reprint Of Hardcover 1st Ed., 2014
Number Of Pages 300
Publication Date 2016-09-02
Release Date 2016-06-30
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About Nature-Inspired Optimization Algorithms

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.Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literatureProvides a theoretical understanding as well as practical implementation hintsProvides a step-by-step introduction to each algorithm