Parallel and distributed computational intelligence

The objective in editing this book was to assemble a sample of the best work in parallel and distributed biologically inspired algorithms. The editors invited researchers in different domains to submit their work. They aimed to include diverse topics to appeal to a wide audience. Some of the chapters summarizework that has been ongoing for several years, while others describe more recent exploratory work. Collectively, these works offer a global snapshot of the most recent efforts of bioinspired algorithms’ researchers aiming at profitingfrom parallel and distributed computer architectures—including GPUs, Clusters, Grids, volunteer computing and p2p networks as well as multi-core processors. This volume will be of value to a wide set of readers, including, but not limited to specialists in Bioinspired Algorithms, Parallel and Distributed Computing, as well as computer science students trying to figure out new paths towards the future of computational intelligence. Latest research in parallel and distributed computational intelligence INDICE: When Huge is Routine: Scaling Genetic Algorithms and Estimation ofDistribution 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 Multi- media Embedded Systems.- A Grid-based Hybrid Hierarchical Genetic Algorithm for Protein Structure Prediction.- Laser Dynamics Modelling and Simulation: AnApplication of Dynamic Load Balancing of Parallel Cellular Automata.

• ISBN: 978-3-642-10674-3
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 350
• Fecha Publicación: 01/01/2010
• Nº Volúmenes: 1
• Idioma: Inglés