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    GECCO
    2005
    Springer
    232views Optimization» more  GECCO 2005»
    A hardware pipeline for function optimization using genetic algorithms
    14 years 1 months ago
    A hardware pipeline for function optimization using genetic algorithms
    Download  www.cs.york.ac.uk
    Genetic Algorithms (GAs) are very commonly used as function optimizers, basically due to their search capability. A number of different serial and parallel versions of GA exist. ...
    Malay Kumar Pakhira, Rajat K. De
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    CATA
    2003
    195views Computer Science» more  CATA 2003»
    A Genetic Algorithm Approach to Static Task Scheduling in a Reconfigurable Hardware Environment
    13 years 9 months ago
    A Genetic Algorithm Approach to Static Task Scheduling in a Reconfigurable Hardware Environment
    Download  coen.boisestate.edu
    This paper presents a basic framework for applying static task scheduling techniques to arbitrarily-structured task systems whose targeted execution environment is comprised of fi...
    Sin Ming Loo, B. Earl Wells, J. D. Winningham
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    BMCBI
    2011
    252views Artificial Intelligence» more  BMCBI 2011»
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    12 years 11 months ago
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    Download  www.biomedcentral.com
    Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
    Raphael Mourad, Christine Sinoquet, Philippe Leray
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    PPSN
    2000
    Springer
    70views Distributed And Parallel Com...» more  PPSN 2000»
    Using Dynastic Exploring Recombination to Promote Diversity in Genetic Search
    13 years 11 months ago
    Using Dynastic Exploring Recombination to Promote Diversity in Genetic Search
    Download  www.lcc.uma.es
    A family of recombination operators is studied in this work. These operators are based on keeping and using certain information about the past evolution of the algorithm to guide t...
    Carlos Cotta, José M. Troya
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    ICANNGA
    2007
    Springer
    110views Algorithms» more  ICANNGA 2007»
    Genetic Programming for Proactive Aggregation Protocols
    14 years 1 months ago
    Genetic Programming for Proactive Aggregation Protocols
    Download  www.cs.bham.ac.uk
    Abstract. We present an approach for automated generation of proactive aggregation protocols using Genetic Programming. First a short introduction into aggregation and proactive pr...
    Thomas Weise, Kurt Geihs, Philipp A. Baer
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