
Introduction to Nature-Inspired Optimization
Academic Press
Published on 12. August 2017
Book
Paperback/Softback
256 pages
978-0-12-803636-5 (ISBN)
Description
Introduction to Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that have their origins in the way various species behave in order to optimize their chances of survival. The book describes each method, examines their strengths and weaknesses, and where appropriate, provides the MATLAB code to give practical insight into the detailed structure of these methods and how they work.
Nature-inspired algorithms emulate processes that are found in the natural world, spurring interest for optimization. Lindfield/Penny provide concise coverage to all the major algorithms, including genetic algorithms, artificial bee colony algorithms, ant colony optimization and the cuckoo search algorithm, among others. This book provides a quick reference to practicing engineers, researchers and graduate students who work in the field of optimization.
Nature-inspired algorithms emulate processes that are found in the natural world, spurring interest for optimization. Lindfield/Penny provide concise coverage to all the major algorithms, including genetic algorithms, artificial bee colony algorithms, ant colony optimization and the cuckoo search algorithm, among others. This book provides a quick reference to practicing engineers, researchers and graduate students who work in the field of optimization.
Reviews / Votes
"Besides being very useful to those who are interested in discrete optimizations problems and applying various nature-inspired metaheuristics to them, the involved reader can also benefit from comparative studies of algorithms highlighting their strengths and weaknesses.The book is written in a clean and easily uderstandable, but still highly scientific language and it is beneficial reading for post-docs and researchers working with MATLAB and interested in metaheuristic approaches to optimization problems." --Zentralblatt MATH
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Illustrations
Illustrated
Dimensions
Height: 231 mm
Width: 185 mm
Thickness: 15 mm
Weight
522 gr
ISBN-13
978-0-12-803636-5 (9780128036365)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

George Lindfield | John Penny
Introduction to Nature-Inspired Optimization
E-Book
08/2017
Academic Press
€110.00
Available for download
Persons
George Lindfield is a former lecturer in Mathematics and Computing at the School of Engineering and Applied Science, Aston University in the United Kingdom. John Penny is an Emeritus Professor of Mechanical Engineering at the School of Engineering and Applied Science, Aston University in the United Kingdom.
Author
Professor, School of Engineering and Applied Science, Aston University, UK
Professor, School of Engineering and Applied Science, Aston University, UK
Content
1. Introduction2. Genetic algorithms (GAs).3. Artificial bee colony (ABC) algorithm 4. The bat algorithm.5. Strawberry optimization algorithm6. Ant colony optimization (ACO)7. Cuckoo search algorithm8. Other algorithms and hybrid algorithms9. General comparison of the nature of the methods