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Parallel and Distributed Computational Intelligence / Edition 1

Parallel and Distributed Computational Intelligence / Edition 1

by Francisco Fernïndez Vega, Erick Cantï-Paz
Parallel and Distributed Computational Intelligence / Edition 1
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ISBN-10:
3642106749
ISBN-13:
9783642106743
Pub. Date:
09/17/2010
Publisher:
Springer Berlin Heidelberg
ISBN-10:
3642106749
ISBN-13:
9783642106743
Pub. Date:
09/17/2010
Publisher:
Springer Berlin Heidelberg
Parallel and Distributed Computational Intelligence / Edition 1

Parallel and Distributed Computational Intelligence / Edition 1

by Francisco Fernïndez Vega, Erick Cantï-Paz

Overview

The growing success of biologically inspired algorithms in solving large and complex problems has spawned many interesting areas of research. Over the years, one of the mainstays in bio-inspired research has been the exploitation of parallel and distributed environments to speedup computations and to enrich the algorithms. From the early days of research on bio-inspired algorithms, their inherently parallel nature was recognized and different parallelization approaches have been explored. Parallel algorithms promise reductions in execution time and open the door to solve increasingly larger problems. But parallel platforms also inspire new bio-inspired parallel algorithms that, while similar to their sequential counterparts, explore search spaces differently and offer improvements in solution quality.

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 summarize work 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 profiting from 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.

Product Details

ISBN-13: 9783642106743
Publisher: Springer Berlin Heidelberg
Publication date: 09/17/2010
Series: Studies in Computational Intelligence , #269
Edition description: 2010
Pages: 349
Product dimensions: 6.10(w) x 9.25(h) x 0.04(d)

Table of Contents

Introduction Francisco Fernández de Vega Erick Cantú-Paz 1

When Huge Is Routine: Scaling Genetic Algorithms and Estimation of Distribution Algorithms via Data-Intensive Computing Xavier Llorà Abhishek Verma Roy H. Campbell David E. Goldberg 11

Evolvable Agents: A Framework for Peer-to-Peer Evolutionary Algorithms Juan Luis Jimenez Laredo Juan Julian Merelo Guervos Pedro Angel Castillo Valdivieso 43

Evolutionary Algorithms on Volunteer Computing Platforms: The Milky Way@Home Project Nate Cole Travis Desell Daniel Lombraña González Francisco Fernández de Vega Malik Magdon-Ismail Heidi Newberg Boleslaw Szymanski Carlos Varela 63

Self-coordinated On-Chip Parallel Computing: A Swarm Intelligence Approach Danilo Pani Luigi Raffo 91

Large Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Units William B. Langdon 113

A Review on Parallel Estimation of Distribution Algorithms Alexander Mendiburu Jose Miguel-Alonso Jose A. Lozano 143

Parallel Multi-objective Optimization Using Self-organized Heterogeneous Resources Sanaz Mostaghim 165

The Role of Explicit Niching and Communication Messages in Distributed Evolutionary Multi-objective Optimization Lam T. Bui Daryl Essam Hussein A. Abbass 181

Adaptive Scheduling Algorithms for the Dynamic Distribution and Parallel Execution of Spatial Agent-Based Models Matthias Scheutz Jack Harris 207

On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems Ignacio Robles Rafael Alcalá José M. Benítez Francisco Herrera 235

Parallel and Distributed Optimization of Dynamic Data Structures for Multimedia Embedded Systems José L. Risco-Martín David Atienza J. Ignacio Hidalgo Juan Lanchares 263

A Grid-Based Hybrid Hierarchical Genetic Algorithm for Protein Structure Prediction Alexandru-Adrian Tantar Nouredine Melab El-Ghazali Talbi 291

Laser Dynamics Modelling and Simulation: An Application of Dynamic Load Balancing of Parallel Cellular Automata J.L. Guisado F. Jiménez-Morales J.M. Guerra F. Fernández de Vega K.A. Iskra P.M.A. Sloot Daniel Lombraña González 321

Author Index 349

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