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Titlebook: Parallel and Distributed Computational Intelligence; Francisco Fernández Vega,Erick Cantú-Paz Book 20101st edition Springer-Verlag Berlin

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書目名稱Parallel and Distributed Computational Intelligence
編輯Francisco Fernández Vega,Erick Cantú-Paz
視頻videohttp://file.papertrans.cn/742/741063/741063.mp4
概述Latest research in parallel and distributed computational intelligence
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Parallel and Distributed Computational Intelligence;  Francisco Fernández Vega,Erick Cantú-Paz Book 20101st edition Springer-Verlag Berlin
描述.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
出版日期Book 20101st edition
關(guān)鍵詞algorithm; algorithms; bioinformatics; cluster; computational intelligence; data mining; evolutionary algo
版次1
doihttps://doi.org/10.1007/978-3-642-10675-0
isbn_softcover978-3-642-26332-3
isbn_ebook978-3-642-10675-0Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2010
The information of publication is updating

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Francisco Fernández de Vega,Erick Cantú-Pazitrag gibt eine übersicht über wesentliche Entwicklungen auf dem Gebiet der molekularen Mikrobiologie von H. pylori in den Jahren 1996–1998, wobei die Publikation der Gesamtgenomsequenz von H. pylori und die Analyse der Auswirkungen, die die Verfügbarkeit dieser Sequenz für die Forschung über H. pylori hat, wichtige Schwerpunkte darstellen.
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When Huge Is Routine: Scaling Genetic Algorithms and Estimation of Distribution Algorithms via Data-Intensive Computing, Hadoop is an excellent choice to push evolutionary computation boundaries on very large problems, and (2) that transparent Meandre linear speedups are possible without changing the underlying data-intensive flow thanks to its inherent parallel processing.
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Evolutionary Algorithms on Volunteer Computing Platforms: The MilkyWay@Home Project,y, gigabit network connections, etc.), VC has become a cost-effective platform for running time consuming evolutionary algorithms in order to solve complex problems, such as finding substructure in the Milky Way Galaxy, the problem we address in detail in this chapter.
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Large Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Units,G-U133A and HG-U133B GeneChip biopsies. Multiple GP runs each with a population of five million programs winnow useful variables from the chaff at more than 500 million GPops per second. Sources available via FTP.
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