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Differential Evolution

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Cover of 'Differential Evolution'

Table of Contents

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    Book Overview
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    Chapter 1 The Motivation for Differential Evolution
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    Chapter 2 The Differential Evolution Algorithm
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    Chapter 3 Benchmarking Differential Evolution
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    Chapter 4 Problem Domains
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    Chapter 5 Architectural Aspects and Computing Environments
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    Chapter 6 Computer Code
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    Chapter 7 Genetic Algorithms and Related Techniques for Optimizing Si-H Clusters: A Merit Analysis for Differential Evolution
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    Chapter 8 Non-Imaging Optical Design Using Differential Evolution
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    Chapter 9 Optimization of an Industrial Compressor Supply System
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    Chapter 10 Minimal Representation Multi-Sensor Fusion Using Differential Evolution
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    Chapter 11 Determination of the Earthquake Hypocenter: A Challenge for the Differential Evolution Algorithm
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    Chapter 12 Parallel Differential Evolution: Application to 3-D Medical Image Registration
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    Chapter 13 Design of Efficient Erasure Codes with Differential Evolution
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    Chapter 14 FIWIZ — A Versatile Program for the Design of Digital Filters Using Differential Evolution
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    Chapter 15 Optimization of Radial Active Magnetic Bearings by Using Differential Evolution and the Finite Element Method
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    Chapter 16 Application of Differential Evolution to the Analysis of X-Ray Reflectivity Data
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    Chapter 17 Inverse Fractal Problem
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    Chapter 18 Active Compensation in RF-Driven Plasmas by Means of Differential Evolution
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67 Mendeley
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Title
Differential Evolution
Published by
Springer-Verlag Berlin Heidelberg, January 2005
DOI 10.1007/3-540-31306-0
ISBNs
978-3-54-020950-8, 978-3-54-031306-9, 978-3-64-242416-8
Authors

Kenneth Price, Rainer M. Storn, Jouni A. Lampinen, Price, Kenneth V., Lampinen, Jouni A., Storn, Rainer M.

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Mexico 1 1%
Germany 1 1%
Unknown 64 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 39%
Student > Bachelor 7 10%
Researcher 7 10%
Student > Doctoral Student 6 9%
Student > Master 6 9%
Other 10 15%
Unknown 5 7%
Readers by discipline Count As %
Engineering 29 43%
Computer Science 8 12%
Physics and Astronomy 6 9%
Agricultural and Biological Sciences 2 3%
Decision Sciences 2 3%
Other 10 15%
Unknown 10 15%