George Lindfield (School of Engineering Professor and Applied Scie, John Penny (School of Engineering Professor and A Applied Science

Introduction to Nature-Inspired Optimization

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Elsevier Science Publishing Co Inc
• Seitenzahl: 256
• Erscheinungstermin: 12. August 2017
• Englisch
• Abmessung: 231mm x 185mm x 15mm
• Gewicht: 556g
• ISBN-13: 9780128036365
• ISBN-10: 0128036362
• Artikelnr.: 47822960

Autorenporträt

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

Inhaltsangabe

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