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    GECCO
    2005
    Springer
    77views Optimization» more  GECCO 2005»
    Using evolutionary optimization to improve Markov-based classification with limited training data
    14 years 1 months 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
    14 years 1 months ago
    Evolutionary algorithms for dynamic optimization problems: workshop preface
    Download  www.cs.le.ac.uk
    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
    14 years 27 days 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
    14 years 1 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
    14 years 2 months ago
    Facilitating evolutionary innovation by developmental modularity and variability
    Download  doursat.free.fr
    René Doursat
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