Algorithms

Nature-Inspired Optimization Algorithms

Name: Nature-Inspired Optimization Algorithms
Brand: Elsevier
SKU: 9780128100608
Price: 10393.00 INR
Availability: InStock
ISBN: 9780128100608

Contributor(s): Yang, Xin-She Author Format: Paperback

Paperback · ISBN 9780128100608

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Key Specifications

ISBN	9780128100608
Publisher	Elsevier
Publication date	March 2014
Language	English
MRP	£73.99 GBP
Page count	276
Item weight	83 g

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.

Nature-Inspired Optimization Algorithms

Key Specifications

Yang, Xin-She Author

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