Rchr
J-GLOBAL ID：201001075245041070   Update date: Apr. 30, 2024

Moriyama Yoshifumi

モリヤマ ヨシフミ | Moriyama Yoshifumi
Affiliation and department：
Prefectural University of Kumamoto

About Prefectural University of Kumamoto


Research field  (2)： Intelligent informatics ,  Software
Research keywords  (1)： 情報学
Research theme for competitive and other funds  (5)：
  • 2024 - 2027 孤立戦略に基づく量子風進化アルゴリズムの多数目的最適化への展開
  • 2019 - 2023 Development of a tone adjustment self-study app with evaluation, including all the functions of Japanese intonation and elucidating their relationship
  • 2019 - 2022 Quantum-Inspired Multi-Objective Evolutionary Algorithm without the Concept of Group and the Application of It to Integer-Programming-Problems
  • 2016 - 2019 A Quantum Bit Representation-Based Gene-Coding Method for Graph Optimization Problems and Evolutionary Computation Using the Method
  • 2013 - 2016 Optimization in Permutation Spaces by Evolutionary Computation Representing Genes as Quantum Bits
Papers (31)：
  • Yoshifumi Moriyama, Ichiro Iimura, Shigeru Nakayama. Isolation Strategy for Multi-Objective Quantum-Inspired Evolutionary Algorithm. International Journal of Computational Intelligence Studies (IJCIStudies). 2022. 11. 3/4. 159-175
  • Hiroyuki Hoshi, Ichiro Iimura, Shigeru Nakayama, Yoshifumi Moriyama, Ken Ishibashi. Computer Simulation Based Robustness Comparison Regarding Agents' Moving-Speeds in Two- and Three-Dimensional Herding Algorithms. Proceedings of Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2018). 2018. 1319-1326
  • Hiroyuki Hoshi, Ichiro Iimura, Shigeru Nakayama, Yoshifumi Moriyama, Ken Ishibashi. Robustness of Herding Algorithm with a Single Shepherd Regarding Agents' Moving Speeds. Journal of Signal Processing. 2018. 22. 6. 327-335
  • Yoshifumi Moriyama, Ichiro Iimura, Shigeru Nakayama. Individuality for Quantum-Inspired Individuals Based on Nonuniform Convergence Speed in Maximum Cut Problem. Journal of Signal Processing. 2018. 22. 6. 315-326
  • Yoshifumi Moriyama, Ichiro Iimura, Shigeru Nakayama. Search Performance Analysis of Qubit Convergence Measure for Quantum-Inspired Evolutionary Algorithm Introducing on Maximum Cut Problem. International Journal of Computational Intelligence Studies (IJCIStudies). 2018. 7. 3/4. 231-252
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MISC (6)：
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Lectures and oral presentations  (39)：
  • 量子風進化計算を用いたグラフ最適化における量子ビット収束状態測定法
    (2017年度情報文化学会九州支部研究会 2018)
  • クラウド量子計算IBM QX によるグローバーの探索アルゴリズム実験
    (2017年度情報文化学会九州支部研究会 2018)
  • グラフ最適化のための量子ビット表現に基づく遺伝子表現法に関する一考察
    (平成29年度 電気・情報関係学会九州支部連合大会 2017)
  • 進化計算を用いた電子回路自動設計における交叉手法の検討
    (電気学会九州支部平成28年度(第7回)高専研究講演会 2017)
  • グラフ最適化問題における量子ビット表現に基づく遺伝子表現法の検討
    (2016年度情報文化学会九州支部研究会 2017)
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Professional career (1)：
  • 博士(工学)
Awards (2)：
  • 2017/03 - The Research Institute of Signal Processing Japan Best paper award An Experimental Study on Optimization in Permutation Spaces by Quantum-Inspired Evolutionary Algorithm Using Quantum Bit Representation
  • 2015/03 - 情報処理学会九州支部 奨励賞 量子ビット表現を用いたQuantum-Inspired Evolutionary Algorithmに よる順列最適化に関する一考察
Association Membership(s) (3)：
JAPANESE ASSOCIATION FOR EDUCATION OF INFORMATION STUDIES ,  THE JAPANESE SOCIETY OF EVOLUTIONARY COMPUTATION ,  INFORMATION PROCESSING SOCIETY OF JAPAN
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