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Parallel and Distributed Computational Intelligence

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Cover of 'Parallel and Distributed Computational Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 When Huge Is Routine: Scaling Genetic Algorithms and Estimation of Distribution Algorithms via Data-Intensive Computing
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    Chapter 3 Evolvable Agents: A Framework for Peer-to-Peer Evolutionary Algorithms
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    Chapter 4 Evolutionary Algorithms on Volunteer Computing Platforms: The MilkyWay@Home Project
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    Chapter 5 Self-coordinated On-Chip Parallel Computing: A Swarm Intelligence Approach
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    Chapter 6 Large Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Units
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    Chapter 7 A Review on Parallel Estimation of Distribution Algorithms
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    Chapter 8 Parallel Multi-objective Optimization Using Self-organized Heterogeneous Resources
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    Chapter 9 Parallel and Distributed Computational Intelligence
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    Chapter 10 Adaptive Scheduling Algorithms for the Dynamic Distribution and Parallel Execution of Spatial Agent-Based Models
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    Chapter 11 On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems
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    Chapter 12 Parallel and Distributed Optimization of Dynamic Data Structures for Multimedia Embedded Systems
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    Chapter 13 A Grid-Based Hybrid Hierarchical Genetic Algorithm for Protein Structure Prediction
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    Chapter 14 Laser Dynamics Modelling and Simulation: An Application of Dynamic Load Balancing of Parallel Cellular Automata
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Citations

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Title
Parallel and Distributed Computational Intelligence
Published by
Springer Berlin Heidelberg, January 2010
DOI 10.1007/978-3-642-10675-0
ISBNs
978-3-64-210674-3, 978-3-64-210675-0, 978-3-64-226332-3
Authors

Francisco Fernández de Vega, Erick Cantú-Paz

Editors

Vega, Francisco Fernández, Cantú-Paz, Erick

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 6%
Brazil 1 3%
United Kingdom 1 3%
Spain 1 3%
United States 1 3%
Unknown 25 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 23%
Professor > Associate Professor 5 16%
Student > Master 5 16%
Student > Ph. D. Student 4 13%
Student > Bachelor 3 10%
Other 3 10%
Unknown 4 13%
Readers by discipline Count As %
Computer Science 18 58%
Engineering 4 13%
Mathematics 2 6%
Physics and Astronomy 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 0 0%
Unknown 4 13%