Nature-Inspired Optimization Algorithms

Xin-She (School of Science and Technology Yang

ISBN 10: 0128219866 / ISBN 13: 9780128219867

Published by Elsevier Science Publishing Co Inc Sep 2020, 2020

About this Item

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Bibliographic Details

• Title: Nature-Inspired Optimization Algorithms
• Publisher: Elsevier Science Publishing Co Inc Sep 2020
• Publication Date: 2020
• Language: English
• ISBN 10: 0128219866
• ISBN 13: 9780128219867
• Binding: Taschenbuch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 235W x 190H x 19D millimeters 235 millimeters width by 190 millimeters height by 19 millimeters depth
• Weight: 578 grams

About this title

Synopsis

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.

• Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literature
• Provides a theoretical understanding and practical implementation hints
• Presents a step-by-step introduction to each algorithm
• Includes four new chapters covering mathematical foundations, techniques for solving discrete and combination optimization problems, data mining techniques and their links to optimization algorithms, and the latest deep learning techniques, background and various applications

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).