Parallel and Distributed Computational Intelligence

360 Seiten, Hardcover

Kurzbeschreibung des Verlags

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 MilkyWay@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.

• Reihe: Studies in Computational Intelligence
• Themen: Informatik und Informationstechnologie Informatik Künstliche Intelligenz (KI)
• ISBN: 9783642106743
• Sprache: Englisch
• Erscheinungsdatum: 18.09.2010
• Größe: 241 x 160 mm
• Verlag: Springer Spektrum
• Herausgegeben von: Erick Cantú-Paz, Francisco Fernández Vega