Differential evolution
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Differential evolution a handbook for global permutation-based combinatorial optimization by

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Published by Springer in Berlin .
Written in English

Subjects:

  • Combinatorial optimization,
  • Mathematical optimization

Book details:

Edition Notes

Includes bibliographical references and index.

StatementGodfrey C. Onwubolu, Donald Davendra (eds.).
SeriesStudies in computational intelligence -- v. 175, Studies in computational intelligence -- v. 175.
ContributionsOnwubolu, Godfrey C., Davendra, Donald.
Classifications
LC ClassificationsQA402.5 .D53 2009
The Physical Object
Paginationxvi, 211 p. :
Number of Pages211
ID Numbers
Open LibraryOL23686768M
ISBN 103540921508
ISBN 109783540921509, 9783540921516
LC Control Number2008942026

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The differential evolution (DE) algorithm is a practical approach to global numerical optimization which is easy to understand, simple to implement, reliable, and fast. Packed with illustrations, computer code, new insights, and practical advice, this volume explores DE Brand: Springer-Verlag Berlin Heidelberg. In evolutionary computation, differential evolution (DE) is a method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. Such methods are commonly known as metaheuristics as they make few or no assumptions about the problem being optimized and can search very large spaces of candidate solutions.   Recent developments in differential evolution (–) Awad et al. (b) introduced a differential stochastic fractal evolutionary algorithm (DSF-EA) with balancing the exploration or exploitation feature. They presented a three-stage optimization algorithm with differential evolution diffusion, success-based update process and dynamic Cited by: 2.   Differential evolution is a very simple but very powerful stochastic optimizer. Since its inception, it has proved very efficient and robust in function optimization and has been applied to solve problems in many scientific and engineering fields. In Differential Evolution, Dr. Qing begins with an overview of optimization, followed by a state-of-the-art review of differential evolution.

  Differential evolution is a very simple but very powerful stochastic optimizer. Since its inception, it has proved very efficient and robust in function optimization and has been applied to solve problems in many scientific and engineering fields. Qing has authored 4 book chapters, 49 peer reviewed journal papers, and 37 conference. Differential evolution is arguably one of the hottest topics in today's computational intelligence research. This book seeks to present a comprehensive study of the state of the art in this technology and also directions for future research. The fourteen chapters of this book have been written by leading experts in the area. Differential evolution is arguably one of the hottest topics in today's computational intelligence research. This book seeks to present a comprehensive study of the state of the art in this technology and also directions for future research. The fourteen chapters of this book Brand: Springer-Verlag Berlin Heidelberg. 1. Civilization--History. 2. Historical geography. 3. Evolution. 4. Social evolution. 5. Genetic algorithms. I. Title CBH39 dc22 This book was typeset using QuarkXpress The body of the book is in point Times New Roman, set , with six extra points between paragraphs. The index and footnotes are set 10/

Read the latest chapters of Handbook of Differential Equations: Evolutionary Equations at , Elsevier’s leading platform of peer-reviewed scholarly literature. Capacity planning based on decision rule and differential evolution is proposed. • A decision rule representation is designed for a multi-stage capacity expansion. • An evolutionary framework is applied for optimizing the decision rules. • The proposed approach can deal with multiple uncertainties simultaneously. •. Yu X, Lu Y, Wang X, Luo X and Cai M () An effective improved differential evolution algorithm to solve constrained optimization problems, Soft Computing - A Fusion of Foundations, Methodologies and Applications, , (), Online publication date: 1-Apr differential evolution Download differential evolution or read online books in PDF, EPUB, Tuebl, and Mobi Format. Click Download or Read Online button to get differential evolution book now. This site is like a library, Use search box in the widget to get ebook that you want.