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Cellular Genetic Algorithms

Overview of attention for book
Cover of 'Cellular Genetic Algorithms'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Cellular Genetic Algorithms
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    Chapter 2 The State of the Art in Cellular Evolutionary Algorithms
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    Chapter 3 On the Effects of Structuring the Population
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    Chapter 4 Some Theory: A Selection Pressure Study on cGAs
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    Chapter 5 Algorithmic and Experimental Design
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    Chapter 6 Design of Self-adaptive cGAs
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    Chapter 7 Design of Cellular Memetic Algorithms
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    Chapter 8 Design of Parallel Cellular Genetic Algorithms
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    Chapter 9 Designing Cellular Genetic Algorithms for Multi-objective Optimization
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    Chapter 10 Other Cellular Models
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    Chapter 11 Software for cGAs: The JCell Framework
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    Chapter 12 Continuous Optimization
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    Chapter 13 Logistics: The Vehicle Routing Problem
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    Chapter 14 Telecommunications: Optimization of the Broadcasting Process in MANETs
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    Chapter 15 Bioinformatics: The DNA Fragment Assembly Problem
Attention for Chapter 2: The State of the Art in Cellular Evolutionary Algorithms
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Citations

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Readers on

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133 Mendeley
Summary Dimensions citations
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Chapter title
The State of the Art in Cellular Evolutionary Algorithms
Chapter number 2
Book title
Cellular Genetic Algorithms
Published by
Springer, Boston, MA, January 2008
DOI 10.1007/978-0-387-77610-1_2
Book ISBNs
978-0-387-77609-5, 978-0-387-77610-1
Authors

Enrique Alba, Bernabè Dorronsoro, Alba, Enrique, Dorronsoro, Bernabè

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 132 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 2%
Professor > Associate Professor 1 <1%
Student > Master 1 <1%
Unknown 129 97%
Readers by discipline Count As %
Computer Science 2 2%
Agricultural and Biological Sciences 1 <1%
Energy 1 <1%
Unknown 129 97%

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