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    GECCO
    2005
    Springer
    77views Optimization» more  GECCO 2005»
    Using evolutionary optimization to improve Markov-based classification with limited training data
    16 years 2 days ago
    Using evolutionary optimization to improve Markov-based classification with limited training data
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    Timothy Meekhof, Robert B. Heckendorn
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    GECCO
    2005
    Springer
    83views Optimization» more  GECCO 2005»
    Evolutionary algorithms for dynamic optimization problems: workshop preface
    16 years 2 days ago
    Evolutionary algorithms for dynamic optimization problems: workshop preface
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    Shengxiang Yang, Jürgen Branke
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    GECCO
    2003
    Springer
    71views Optimization» more  GECCO 2003»
    Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis
    15 years 11 months ago
    Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis
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    Yaochu Jin, Tatsuya Okabe, Bernhard Sendhoff
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    CEC
    2003
    IEEE
    140views Artificial Intelligence» more  CEC 2003»
    Comparing neural networks and Kriging for fitness approximation in evolutionary optimization
    15 years 12 months ago
    Comparing neural networks and Kriging for fitness approximation in evolutionary optimization
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    Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
    Lars Willmes, Thomas Bäck, Yaochu Jin, Bernha...
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    GECCO
    2009
    Springer
    88views Optimization» more  GECCO 2009»
    Facilitating evolutionary innovation by developmental modularity and variability
    16 years 1 months ago
    Facilitating evolutionary innovation by developmental modularity and variability
    Download  doursat.free.fr
    René Doursat
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