Overview
- Latest research in parallel and distributed computational intelligence
Part of the book series: Studies in Computational Intelligence (SCI, volume 269)
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Table of contents (14 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Parallel and Distributed Computational Intelligence
Editors: Francisco Fernández Vega, Erick Cantú-Paz
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-10675-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Hardcover ISBN: 978-3-642-10674-3Published: 18 September 2010
Softcover ISBN: 978-3-642-26332-3Published: 28 June 2012
eBook ISBN: 978-3-642-10675-0Published: 06 January 2010
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: VI, 349
Topics: Mathematical and Computational Engineering, Artificial Intelligence