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  • The paper describes improvement of solution quality of genetic algorithms and genetic programming algorithms by reasoning of multiple derivations and integrations of original time series. The influence of partial fitness functions is composed by Fuzzy Pareto dominance. The structure of the algorithm is presented and discussed.
  • The paper describes improvement of solution quality of genetic algorithms and genetic programming algorithms by reasoning of multiple derivations and integrations of original time series. The influence of partial fitness functions is composed by Fuzzy Pareto dominance. The structure of the algorithm is presented and discussed. (en)
Title
  • Application of Pareto Genetic Algorithms and Genetic Programming to System Identification
  • Application of Pareto Genetic Algorithms and Genetic Programming to System Identification (en)
skos:prefLabel
  • Application of Pareto Genetic Algorithms and Genetic Programming to System Identification
  • Application of Pareto Genetic Algorithms and Genetic Programming to System Identification (en)
skos:notation
  • RIV/68407700:21260/09:00159925!RIV12-MSM-21260___
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  • Z(MSM6840770043)
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  • 303817
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  • RIV/68407700:21260/09:00159925
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  • Genetic algorithm; Genetic pogramming; Evolution; Artificial intelligence; Expert system (en)
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  • [2045ED8B2B3F]
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  • Zakopane
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  • Kielce
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  • Proceedings of 10th International Carpathian control conference
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  • Brandejský, Tomáš
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number of pages
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  • Faculty of Mechanical Engineering and Robotics AGH - University of Science and Technology
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  • 8389772-51-5
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  • 21260
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