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Introduction to Nature-Inspired Optimization - George Lindfield, John Penny

Introduction to Nature-Inspired Optimization

Buch | Softcover
256 Seiten
2017
Academic Press Inc (Verlag)
978-0-12-803636-5 (ISBN)
CHF 165,75 inkl. MwSt
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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.

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.

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

Erscheinungsdatum
Verlagsort San Diego
Sprache englisch
Maße 191 x 235 mm
Gewicht 520 g
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
ISBN-10 0-12-803636-2 / 0128036362
ISBN-13 978-0-12-803636-5 / 9780128036365
Zustand Neuware
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