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Parallel and Distributed Computational Intelligence

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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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