Introduction to Nature-Inspired Optimization - 1st Edition - ISBN: 9780128036365, 9780128036662

Introduction to Nature-Inspired Optimization

1st Edition

Authors: George Lindfield John Penny
eBook ISBN: 9780128036662
Paperback ISBN: 9780128036365
Imprint: Academic Press
Published Date: 12th August 2017
Page Count: 256
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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.

Key Features

  • Applies concepts in nature and biology to develop new algorithms for nonlinear optimization
  • Offers working MATLAB® programs for the major algorithms described, applying them to a range of problems
  • Provides useful comparative studies of the algorithms, highlighting their strengths and weaknesses
  • Discusses the current state-of-the-field and indicates possible areas of future development

Readership

Research and Professional Engineers, Graduate engineering students studying optimization

Table of Contents

Chapter 1. Introduction
Chapter 2. Genetic algorithms (GAs).
Chapter 3. Artificial bee colony (ABC) algorithm
Chapter 4. The bat algorithm.
Chapter 5. Strawberry optimization algorithm
Chapter 6. Ant colony optimization (ACO)
Chapter 7. Cuckoo search algorithm
Chapter 8. Other algorithms and hybrid algorithms
Chapter 9. General comparison of the nature of the methods
References
Index
Appendices 
Solutions

Details

No. of pages:
256
Language:
English
Copyright:
© Academic Press 2017
Published:
Imprint:
Academic Press
eBook ISBN:
9780128036662
Paperback ISBN:
9780128036365

About the Author

George Lindfield

George Lindfield is a former lecturer in Mathematics and Computing at the School of Engineering and Applied Science, Aston University in the United Kingdom.

Affiliations and Expertise

Professor, School of Engineering and Applied Science, Aston University

John Penny

John Penny is an Emeritus Professor of Mechanical Engineering at the School of Engineering and Applied Science, Aston University in the United Kingdom.

Affiliations and Expertise

Professor, School of Engineering and Applied Science, Aston University

Ratings and Reviews