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Evolutionary Algorithms

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Cover of 'Evolutionary Algorithms'

Table of Contents

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    Book Overview
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    Chapter 1 Genetic Algorithms as Multi-Coordinators in Large-Scale Optimization
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    Chapter 2 Telecommunication Network Optimization with Genetic Algorithms: A Decade of Practice
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    Chapter 3 Using Evolutionary Algorithms to Search for Control Parameters in a Nonlinear Partial Differential Equation
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    Chapter 4 Applying Genetic Algorithms to Real-World Problems
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    Chapter 5 An Overview of Evolutionary Programming
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    Chapter 6 A Hierarchical Genetic Algorithm for System Identification and Curve Fitting with a Supercomputer Implementation
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    Chapter 7 Experiences with the PGAPack Parallel Genetic Algorithm Library
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    Chapter 8 The Significance of the Evaluation Function in Evolutionary Algorithms
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    Chapter 9 Genetic Algorithm Optimization of Atomic Clusters
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    Chapter 10 Search, Binary Representations and Counting Optima
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    Chapter 11 An Investigation of GA Performance Results for Different Cardinality Alphabets
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    Chapter 12 Genetic Algorithms and the Design of Experiments
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    Chapter 13 Efficient Parameter Optimization Based on Combination of Direct Global and Local Search Methods
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    Chapter 14 What are Genetic Algorithms? A Mathematical Prespective
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    Chapter 15 Survey of Projects Involving Evolutionary Algorithms Sponsored by the Electric Power Research Institute
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Citations

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4 Mendeley
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Title
Evolutionary Algorithms
Published by
Springer New York, December 2012
DOI 10.1007/978-1-4612-1542-4
ISBNs
978-1-4612-7185-7, 978-1-4612-1542-4
Editors

Davis, Lawrence David, Jong, Kenneth, Vose, Michael D., Whitley, L. Darrell

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 1 25%
Student > Ph. D. Student 1 25%
Student > Master 1 25%
Researcher 1 25%
Readers by discipline Count As %
Engineering 2 50%
Chemistry 1 25%
Agricultural and Biological Sciences 1 25%