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    GECCO
    2006
    Springer
    447views Optimization» more  GECCO 2006»
    Candlestick stock analysis with genetic algorithms
    15 years 17 days ago
    Candlestick stock analysis with genetic algorithms
    Download  www.cs.bham.ac.uk
    Candlestick analysis, a form of stock market technical analysis, is well suited for use with a genetic search algorithm. This paper explores an implementation of marrying these tw...
    Peter Belford
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    68
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    GECCO
    2006
    Springer
    332views Optimization» more  GECCO 2006»
    Multi-objective PID-controller tuning for a magnetic levitation system using NSGA-II
    15 years 16 days ago
    Multi-objective PID-controller tuning for a magnetic levitation system using NSGA-II
    Download  www.cs.bham.ac.uk
    This paper investigates the issue of PID-controller parameter tuning for a magnetic levitation system using the nondominated sorting genetic algorithm (NSGA-II). The magnetic levi...
    Gerulf K. M. Pedersen, Zhenyu Yang
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    ICGA
    2006
    312views Optimization» more  ICGA 2006»
    New Approximate Strategies for Playing Sum Games based on Subgame Types
    16 years 9 months ago
    New Approximate Strategies for Playing Sum Games based on Subgame Types
    Download  www.cs.rice.edu
    In this work we investigate the potential of combining AI tree-search algorithms with the algorithms of combinatorial game theory to provide more efficient strategies for playing s...
    Manal Zaky, Cherif Salama, Salma Ghoneim
    posted by CherifSalama
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    68
    Voted
    GECCO
    2006
    Springer
    291views Optimization» more  GECCO 2006»
    Modular thinking: evolving modular neural networks for visual guidance of agents
    15 years 16 days ago
    Modular thinking: evolving modular neural networks for visual guidance of agents
    Download  www.cs.bham.ac.uk
    This paper investigates whether replacing non-modular artificial neural network brains of visual agents with modular brains improves their ability to solve difficult tasks, specif...
    Ehud Schlessinger, Peter J. Bentley, R. Beau Lotto
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    140
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    GECCO
    2006
    Springer
    289views Optimization» more  GECCO 2006»
    Levels of abstraction in modeling and sampling: the feature-based Bayesian optimization algorithm
    15 years 16 days ago
    Levels of abstraction in modeling and sampling: the feature-based Bayesian optimization algorithm
    Download  www.metacog.org
    Moshe Looks
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