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    CSCLP
    2003
    Springer
    83views Artificial Intelligence» more  CSCLP 2003»
    A New Approach to Modeling and Solving Minimal Perturbation Problems
    15 years 8 months ago
    A New Approach to Modeling and Solving Minimal Perturbation Problems
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    Roman Barták, Tomás Müller, Han...
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    DIGRA
    2003
    Springer
    103views Computer Graphics» more  DIGRA 2003»
    Problem Solving: The Essence of Player Action in Computer Games
    15 years 8 months ago
    Problem Solving: The Essence of Player Action in Computer Games
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    Kristine Jørgensen
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    140
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    GECCO
    2003
    Springer
    97views Optimization» more  GECCO 2003»
    A Kernighan-Lin Local Improvement Heuristic That Solves Some Hard Problems in Genetic Algorithms
    15 years 8 months ago
    A Kernighan-Lin Local Improvement Heuristic That Solves Some Hard Problems in Genetic Algorithms
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    We present a Kernighan-Lin style local improvement heuristic for genetic algorithms. We analyze the run-time cost of the heuristic. We demonstrate through experiments that the heur...
    William A. Greene
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    146
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    GECCO
    2003
    Springer
    160views Optimization» more  GECCO 2003»
    Hybridization of Estimation of Distribution Algorithms with a Repair Method for Solving Constraint Satisfaction Problems
    15 years 8 months ago
    Hybridization of Estimation of Distribution Algorithms with a Repair Method for Solving Constraint Satisfaction Problems
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    Estimation of Distribution Algorithms (EDAs) are new promising methods in the field of genetic and evolutionary algorithms. In the case of conventional Genetic and Evolutionary Al...
    Hisashi Handa
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    83
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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 8 months ago
    Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis
    Download  www.soft-computing.de
    Yaochu Jin, Tatsuya Okabe, Bernhard Sendhoff
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