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ホーム > 教員情報 > 情報工学科 > 佐々木 智志 講師

佐々木 智志 講師


[研究テーマ]
最適化アルゴリズムに関する研究

[主な担当科目]
論理回路、システム工学、情報科学実験

最適化アルゴリズムに関する研究

家から学校まで時間をかけずに到着するための道の選び方など私達は日常的に最適化を行っています。本研究室では、コンピュータを用いて最適化を行い、工業製品の設計や計画などに役立てることが目標です。また、新しい最適化のアルゴリズムの考案などにも取り組んでおります。

取得学位

博士(工学)

主な研究業績

<論文・査読あり国際会議>
  1. Tomoyuki Sasaki and Hidehiro Nakano, “Investigation of particles behaviors of piecewise-linear particle swarm optimizer,” in Proceeding of IEEE SSCI, pp. 429-435, 2017.
  2. 佐々木智志, 中野秀洋, 宮内新, 田口亮, “区分線形系粒子群最適化法における解探索性能の解析,” 進化計算学会論文誌 Vol. 8, No. 1, pp. 1-10, 2017.
  3. Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi and Akira Taguchi, “Deterministic particle swarm optimizer with the convergence and divergence dynamics,” IEICE Trans. Fundamentals of Electronics, Communications and Computer Science, Vol. E100-A, No.5, pp. 1244-1247, 2017.
  4. Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi and Akira Taguchi, “Particle swarm optimizer networks with stochastic connection for improvement of diversity search ability to solve multimodal optimization problems,” IEICE Trans. Fundamentals of Electronics, Communications and Computer Science, Vol. E-100A, No.4, pp. 996-1007.
  5. Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi and Akira Taguchi, “Analysis for Basic Dynamics and Performances of Piecewise Particle Swarm Optimizers,” Proceeding of 2016 IEEE International Conference on Systems, Man, and Cybernetics, pp. 3252-3257, 2016.
  6. Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi and Akira Taguchi, “Solving Performances of Piecewise-Linear Particle Swarm Optimizer with Chaotic Dynamics,” Proceeding of 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, pp. 287-292, 2016.
  7. Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi and Akira Taguchi, “Improvement of the olving performance by the networking of particle swarm optimization,” IEICE Trans. Fundamentals of Electronics, Communications and Computer Science, vol. E-98-A, No. 8, pp. 1777-1786, 2015.
  8. Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi and Akira Taguchi, “Solving Performances of PSO Networks with Temporal Couplings,” Proceeding of 2014 IEEE International Conference on Systems, Man, and Cybernetics, pp. 605-609, 2014.
  9. Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi, Akihide Utani and Hisao Yamamoto, “Detecting Multiple Forwarding Node Sets for Query Dissemination in Wireless Sensor Networks Using Chaotic Neural Networks,” Proceeding of 2010 7th International Conference on Ubiquitous Robots and Ambient Intelligence, pp. 503-506, 2010.
  10. Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi, Akihide Utani and Hisao Yamamoto, “An adaptive selection scheme of forwarding nodes in wireless sensor networks using a chaotic neural networks,” ICIC Express Letters, Vol. 4, No. 5(A), pp. 1649-1655, 2010.
<国際会議(査読なし)>
  1. Tomoyuki Sasaki and Hidehiro Nakano, “A piecewise-linear particle swarm optimizer with locally-coupled topology,” in Proceeding of 2017 International Symposium on Nonlinear Theory and Its Applications, pp. 580-583, 2017.
  2. Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi and Akira Taguchi, “Piecewise-linear particle swarm optimizer networks,” Proceeding of 2016 International Symposium on Nonlinear Theory and Its Applications, pp. 64-67, 2016.
  3. Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi and Akira Taguchi, “”Basic Performances of Deterministic Particle Swarm Optimizer Networks, Proceeding of 2015 International Symposium on Nonlinear Theory and Its Applications, pp. 720-723, 2015.
  4. Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi and Akira Taguchi, “A Temporal PSO networks for Parallel-Distributed Optimization,” Proceeding of 2014 International Symposium on Nonlinear Theory and Its Applications, pp. 156-159, 2014.
  5. Tomoyuki Sasaki, Hidehiro Nakano, Arata Miyauchi, Akihide Utani and Hisao Yamamoto, “An Efficient Flooding Scheme Using Chaotic Neural Networks in Wireless Sensor Networks,” Proceeding of 2009 International Symposium on Nonlinear Theory and Its Applications, pp. 523-526, 2009.
<国内学会>
  1. 中野秀洋, 佐々木智志,宮内新,田口亮, “二つの回転モードを有する粒子群最適化におけるGbestの影響に関する調査,” 進化計算シンポジウム2016, 2016.
  2. 中野秀洋, 佐々木智志,宮内新, “二つの回転モードを有する粒子群最適化,” 信学技報 Vol. 116, No. 215, NLP2016-63, pp. 97-100, 2016.
  3. 磯野悠, 佐々木智志,中野秀洋,宮内新, “並列分散処理に適した人工蜂コロニーアルゴリズム,” 信学技報 Vol. 116, No. 151, NLP2016-40, pp. 33-38, 2016.
  4. 中野秀洋, 松本涼佑,佐々木智志,宮内新, “並列型粒子群最適化のPCクラスタへの実装,” 信学技報 Vol. 116, No. 63, NLP2016-13, pp. 63-66, 2016.
  5. 佐々木智志, 中野秀洋, 宮内新, 田口亮, “決定論型PSOネットワークにおける結合パラメータに関する調査,” 信学技報 Vol. 115, No. 425, NLP2015-136, pp. 57-62, 2015.
  6. 佐々木智志, 中野秀洋, 宮内新, “確率的結合を有するPSOネットワークの解探索性能について,” 信学技報 Vol. 114, No. 55, NLP2014-11, pp. 51-56, 2014.
  7. 佐々木智志, 中野秀洋, 宮内新, “PSOネットワークの基本性能について,” 信学技報 Vol. 113, No. 486, NLP2013-180, pp. 91-96, 2014.
  8. 佐々木智志, 中野秀洋,宇谷明秀,宮内新,山本尚生, “カオスニューラルネットワークを用いた無線センサネットワークにおける効率的なフラッディング手法,” 信学技報 Vol. 109, No. 124, NLP2009-27, pp. 73-76, 2009.

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