Description
A theoretical and practical introduction to all major nature-inspired algorithms for optimization
About the Author
Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. He is currently a Reader in Modelling and Simulation at Middlesex University London, Fellow of the Institute of Mathematics and its Application (IMA) and a Book Series Co-Editor of the Springer Tracts in Nature-Inspired Computing. He has published more than 25 books and more than 400 peer-reviewed research publications with over 82000 citations, and he has been on the prestigious list of highly cited researchers (Web of Sciences) for seven consecutive years (2016-2022).
Reviews
"...the book is well written and easy to follow, even for algorithmic and mathematical laymen. Since the book focuses on optimization algorithms, it covers a very important and actual topic." --IEEE Communications Magazine, Nature-Inspired Optimization Algorithms "...this book strives to introduce the latest developments regarding all major nature-inspired algorithms..." - HPCMagazine.com, August 2014
Book Information
ISBN 9780128100608
Author Xin-She Yang
Format Paperback
Page Count 300
Imprint Elsevier Science Publishing Co Inc
Publisher Elsevier Science Publishing Co Inc
Weight(grams) 410g