Introduction to Nature-Inspired Optimization

Erscheinungsjahr 2017
ISBN: 978-0-12-803636-5
Verlag: Elsevier Science

Buch, Englisch, 256 Seiten, Format (B × H): 185 mm x 231 mm, Gewicht: 522 g

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.

Autoren/Hrsg.

Lindfield, George

Penny, John

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle

Inhaltsverzeichnis

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

Über Autor(innen)

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

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