Offering a global snapshot of parallel and distributed computational intelligence today, this volume covers ongoing issues as well as recent exploratory work. Topics discussed include GPUs, Clusters, Grids, volunteer computing, p2p networks and more.
Содержание
When Huge Is Routine: Scaling Genetic Algorithms and Estimation of Distribution Algorithms via Data-Intensive Computing.- Evolvable Agents: A Framework for Peer-to-Peer Evolutionary Algorithms.- Evolutionary Algorithms on Volunteer Computing Platforms: The Milky Way@Home Project.- Self-coordinated On-Chip Parallel Computing: A Swarm Intelligence Approach.- Large Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Units.- A Review on Parallel Estimation of Distribution Algorithms.- Parallel Multi-objective Optimization Using Self-organized Heterogeneous Resources.- The Role of Explicit Niching and Communication Messages in Distributed Evolutionary Multi-objective Optimization.- Adaptive Scheduling Algorithms for the Dynamic Distribution and Parallel Execution of Spatial Agent-Based Models.- On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems.- Parallel and Distributed Optimization of Dynamic Data Structures for Multimedia Embedded Systems.- A Grid-Based Hybrid Hierarchical Genetic Algorithm for Protein Structure Prediction.- Laser Dynamics Modelling and Simulation: An Application of Dynamic Load Balancing of Parallel Cellular Automata.
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