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    ICRA
    2002
    IEEE
    161views Robotics» more  ICRA 2002»
    A Method for Co-Evolving Morphology and Walking Pattern of Biped Humanoid Robot
    14 years 18 days ago
    A Method for Co-Evolving Morphology and Walking Pattern of Biped Humanoid Robot
    Download  lab.sdm.keio.ac.jp
    — In this paper, we present a method for co-evolving structures and controller of biped walking robots. Currently, biped walking humanoid robots are designed manually on trial-an...
    Ken Endo, Fuminori Yamasaki, Takashi Maeno, Hiroak...
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    ALIFE
    2005
    125views Modeling And Simulation» more  ALIFE 2005»
    Material Representations: From the Genetic Code to the Evolution of Cellular Automata
    13 years 7 months ago
    Material Representations: From the Genetic Code to the Evolution of Cellular Automata
    Download  informatics.indiana.edu
    We present a new definition of the concept of representation for cognitive science that is based on a study of the origin of structures that are used to store memory in evolving sy...
    Luis Mateus Rocha, Wim Hordijk
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    ASC
    2007
    153views Artificial Intelligence» more  ASC 2007»
    Evolving an artificial neural network classifier for condition monitoring of rotating mechanical systems
    13 years 7 months ago
    Evolving an artificial neural network classifier for condition monitoring of rotating mechanical systems
    Download  icsl.gatech.edu
    We present the results of our investigation into the use of Genetic Algorithms (GAs) for identifying near optimal design parameters of diagnostic systems that are based on Artifici...
    Abhinav Saxena, Ashraf Saad
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    GECCO
    2009
    Springer
    86views Optimization» more  GECCO 2009»
    Evolving heuristically difficult instances of combinatorial problems
    13 years 11 months ago
    Evolving heuristically difficult instances of combinatorial problems
    Download  web.stcloudstate.edu
    When evaluating a heuristic for a combinatorial problem, randomly generated instances of the problem may not provide a thorough exploration of the heuristic's performance, an...
    Bryant A. Julstrom
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    GECCO
    2007
    Springer
    558views Optimization» more  GECCO 2007»
    A chain-model genetic algorithm for Bayesian network structure learning
    14 years 1 months ago
    A chain-model genetic algorithm for Bayesian network structure learning
    Download  www.cs.bham.ac.uk
    Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
    Ratiba Kabli, Frank Herrmann, John McCall
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