国際会議GECCO 2018にて上野,髙野,辰巳,張,梅内が発表を行いました

国際会議GECCO 2018にて上野,髙野,辰巳,張がワークショップにて口頭発表,髙野,梅内が本会議にてポスター発表を行いました.

GECCOは進化計算におけるトップカンファレンスです.各々の研究においてハイレベルな議論ができました.

期間:2018年7月15日-19日
場所:京都府 京都市 京都テルサ

発表詳細

■ International Workshop on Learning Classifier Systems
  • Fumito Uwano, Koji Dobashi, Keiki Takadama, and Tim Kovacs:

    “Generalizing Rules by Random Forest-based Learning Classifier Systems for High-Dimensional Data Mining”,
    21st International Workshop on Learning Classifier Systems (IWLCS 2018), July 2018, Kyoto, Japan.

  • Takato Tatsumi, Tim Kovacs, Keiki Takadama:

    “XCS-CR: Determining Accuracy of Classifier by its Collective Reward in Action Set toward Environment with Action Noise”,
    Genetic and Evolutioary Computation Conference (GECCO), July 2018, Kyoto, Japan.Download »

  • Kazuma Matsumoto, Ryo Takano, Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama:

    “XCSR based on compressed input by deep neural network for high dimensional data”,
    Genetic and Evolutioary Computation Conference (GECCO), July 2018, Kyoto, Japan.Download »

■ Evolutionary Computation in Health Care and Nursing System
  • Caili Zhang, Takato Tatsumi, Hiroyuki Sato, Tim Kovacs, Keiki Takadama:

    “Classifier generalization for comprehensive classifiers subsumption in XCS”,
    Genetic and Evolutioary Computation Conference (GECCO), July 2018, Kyoto, Japan.Download »

■ 本会議
  • Ryo Takano, Hiroyuki Sato, Keiki Takadama:

    “Artificial bee colony algorithm based on adaptive local information sharing: approach for several dynamic changes”,
    Genetic and Evolutioary Computation Conference (GECCO), July 2018, Kyoto, Japan.Download »

  • Yuta Umenai, Fumito Uwano, Hiroyuki Sato, and Keiki Takadama:

    “Multiple Swarm Intelligence Methods based on Multiple Population with Sharing Best Solution for Drastic Environmental Change”,
    The Genetic and Evolutionary Computation Conference (GECCO 2018), July 2018, Kyoto, Japan.

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