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Nature-inspired optimization algorithms (2nd edition)

By: Yang, Xin-She (School of Science and Technology, Middlesex University, UK)

0128219866 / 9780128219867
Paperback
519.6
01/09/2020
Published 01/09/2020
23 cm 332 pages
Professional & Vocational  Learn More

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.

BIC:

MQW Biomedical engineering

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