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    GECCO
    2004
    Springer
    116views Optimization» more  GECCO 2004»
    Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles
    14 years 1 months ago
    Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles
    Download  www.soft-computing.de
    Abstract. In many real-world applications of evolutionary computation, it is essential to reduce the number of fitness evaluations. To this end, computationally efficient models c...
    Yaochu Jin, Bernhard Sendhoff
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    IJHIS
    2006
    104views more  IJHIS 2006»
    Incremental evolution strategy for function optimization
    13 years 8 months ago
    Incremental evolution strategy for function optimization
    Download  bura.brunel.ac.uk
    This paper presents a novel evolutionary approach for function optimization Incremental Evolution Strategy (IES). Two strategies are proposed. One is to evolve the input variables...
    Sheng Uei Guan, Wenting Mo
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    ESANN
    2008
    188views Neural Networks» more  ESANN 2008»
    An emphasized target smoothing procedure to improve MLP classifiers performance
    13 years 10 months ago
    An emphasized target smoothing procedure to improve MLP classifiers performance
    Download  www.dice.ucl.ac.be
    Standard learning procedures are better fitted to estimation than to classification problems, and focusing the training on appropriate samples provides performance advantages in cl...
    Soufiane El Jelali, Abdelouahid Lyhyaoui, An&iacut...
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    FOGA
    1992
    120views Artificial Intelligence» more  FOGA 1992»
    Relative Building-Block Fitness and the Building Block Hypothesis
    13 years 9 months ago
    Relative Building-Block Fitness and the Building Block Hypothesis
    Download  web.cecs.pdx.edu
    The building-block hypothesis states that the GA works well when short, low-order, highly-fit schemas recombine to form even more highly fit higher-order schemas. The ability to p...
    Stephanie Forrest, Melanie Mitchell
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    TEC
    2012
    195views Formal Methods» more  TEC 2012»
    The Effects of Constant and Bit-Wise Neutrality on Problem Hardness, Fitness Distance Correlation and Phenotypic Mutation Rates
    11 years 11 months ago
    The Effects of Constant and Bit-Wise Neutrality on Problem Hardness, Fitness Distance Correlation and Phenotypic Mutation Rates
    Download  cswww.essex.ac.uk
    Kimura’s neutral theory of evolution has inspired researchers from the evolutionary computation community to incorporate neutrality into Evolutionary Algorithms (EAs) in the hop...
    Riccardo Poli, Edgar Galván López
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