関連発表 & English Version

研究業績 〜1994 | 1995 〜

論文

  1. 高濱徹行, 阪井節子, 小倉久和, 中村正郎: "強化学習法による離散値制御のためのファジィ制御規則の学習", 日本ファジィ学会誌, Vol.8, No.1, pp.115-122 (1996.2)
  2. ムハマド ロムジ, 高濱徹行, 小高知宏, 小倉久和: "倒立二重振子系に対するファジィ制御知識の表現とスケーリングによる適応制御", 日本ファジィ学会誌, Vol.8, No.3, pp.576-585 (1996.6)
  3. 高濱徹行, 牧野とみ, 阪井節子: "CAI システムにおけるグラフィカル・ユーザインタフェースの分離手法", 教育システム情報学会誌, Vol.13, No.4, pp. 199-212 (1997.1)
  4. 高濱徹行: "テキスト型アプリケーション群を統合するグラフィカルユーザインタフェースシステム", 学位論文, 京都大学 (1997.3)
  5. 高濱徹行, 阪井節子: "遺伝的アルゴリズムによる多目的ファジースケーリング制御規則の学習", 電子情報通信学会論文誌, Vol.J81-D-II, No.1, pp.119-126 (1998.1)
  6. 高濱徹行, 阪井節子: "制約付き非線形最適化手法α制約法によるファジー制御ルールの最適化", 電子情報通信学会論文誌, Vol.J82-A, No.5, pp.658-668 (1999.5)
    link to PDF file
    Tetsuyuki Takahama, S.Sakai: "Tuning Fuzzy Control Rules by the α Constrained Method which Solves Constrained Nonlinear Optimization Problems", Electronics and Communications in Japan, Part3: Fundamental Electronic Science, Vol.83, No.9, pp.1-12 (2000.9)
  7. 高濱徹行, 阪井節子, 磯道義典: "チームによる教育をモデル化した最適化手法「チームモデル」の提案", 電子情報通信学会論文誌, Vol.J83-D-I,No.1,pp.143-152 (2000.1)
    link to PDF file
  8. 高濱徹行, 阪井節子: "α制約Simplex法によるファジー制御ルールの学習", 電子情報通信学会論文誌, Vol.J83-D-I,No.7, pp.770-779 (2000.7)
    link to PDF file
    Tetsuyuki Takahama and S.Sakai: "Learning Fuzzy Control Rules by α-constrained Simplex Method", Systems and Computers in Japan, Vol.34, No.6, pp.80-90 (2003.6)
  9. 高濱徹行, 阪井節子, 市村匠, 磯道義典: "形状パラメータを有するファジー推論ルールの逐次学習", 電子情報通信学会論文誌, Vol.J83-D-I,No.9, pp.1025-1029 (2000.9)
    link to PDF file
  10. 高濱徹行, 阪井節子, 磯道義典: "変異遺伝子を導入した遺伝的アルゴリズム(MGGA)の提案", 電子情報通信学会論文誌, Vol.J84-D-I,No.9, pp.1297-1306 (2001.9)
    link to PDF file
    T.Takahama, S.Sakai and Y.Isomichi: "MGGA: Genetic Algorithm with Mutant Genes", Systems and Computers in Japan, Vol.33, No.14, pp.23-33 (2002.12)
  11. 高濱徹行, 阪井節子: "多目的非線形最適化手法 Vector Simplex 法による多目的ファジィ制御ルールの対話的学習", 情報処理学会論文誌, Vol.42,No.11, pp.2607-2617 (2001.11)
    link to PDF file
  12. 大枝真一, 市村匠, 寺内睦博, 高濱徹行, 磯道義典: "進化論に基づくニューラルネットワークの構造適応学習アルゴリズムの構成", 情報処理学会論文誌, Vol.43, No.8, pp.2728-2738 (2002.8)
    link to PDF file
  13. 高濱徹行, 阪井節子, 市村匠, 磯道義典: "退化現象を導入した遺伝的アルゴリズム GAd による構造最適化", 電子情報通信学会論文誌, Vol.J86-D-I, No.3, pp.140-149 (2003.3)
    link to PDF file
    T.Takahama, S.Sakai, T.Ichimura and Y.Isomichi: "Structural Optimization by Genetic Algorithm with Degeneration (GAd)", Systems and Computers in Japan, Vol.35, No.5, pp.32-43 (2004.5)
  14. 高濱徹行, 阪井節子: "α制約遺伝的アルゴリズム αGA による制約付き最適化", 電子情報通信学会論文誌, Vol.J86-D-I, No.4, pp.198-207 (2003.4)
    link to PDF file
    Tetsuyuki Takahama and Setsuko Sakai: "Constrained Optimization by α Constrained Genetic Algorithm (αGA)", Systems and Computers in Japan, Vol.35, No.5, pp.11-22 (2004.5)
  15. 高濱徹行, 阪井節子, 磯道義典: "遺伝的退化アルゴリズム GAd によるファジィルールの構造学習における退化速度の自動調整に関する検討", 日本知能情報ファジィ学会誌, Vol.16, No.1, pp.33-43 (2004.2)
    link to PDF file
  16. Tetsuyuki Takahama and Setsuko Sakai: "Constrained Optimization by the α Constrained Particle Swarm Optimizer", Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.9, No.3, pp.282-289 (2005.5)
    link to abstract
  17. Tetsuyuki Takahama and Setsuko Sakai: "Constrained Optimization by Applying the α Constrained Method to the Nonlinear Simplex Method with Mutations", IEEE Transactions on Evolutionary Computation, Vol.9, No.5, pp.437- 451 (2005.10)

  18. 高濱徹行, 阪井節子: "ε制約遺伝的アルゴリズムによる制約付き最適化", 情報処理学会論文誌, Vol.47, No.6, pp.1861-1871 (2006.6)
    link to PDF file
  19. 藤田信行, 原 章, 市村匠, 高濱徹行: "コロニーの巣分かれと消滅を用いたACOアルゴリズムの提案", 電子情報通信学会論文誌, Vol.J89-D, No.12, pp.2661-2670 (2006.12)
    link to PDF file
  20. 高濱徹行, 阪井節子, 原章: "低精度の近似モデルを用いた比較推定法によるDifferential Evolutionにおけ る関数評価回数の削減", 電子情報通信学会論文誌, Vol.J91-D, No.5, pp.1275-1285 (2008.5)
    link to PDF file
  21. 高濱徹行, 阪井節子: "低精度近似モデルを利用したε 制約Differential Evolutionによる効率的な制約付き最適化", 人工知能学会論文誌, Vol.24, No.1, pp.34-45 (2009.1)
    link to PDF file
  22. Tetsuyuki Takahama and Setsuko Sakai: "Fast and Stable Constrained Optimization by the ε Constrained Differential Evolution", Pacific Journal of Optimization, Vol. 5, No. 2, pp.261-282 (2009.5)
    link to abstract
  23. 柴坂美祐喜, 原 章, 市村 匠, 高濱徹行: "種分化を導入したDifferential Evolutionによる複数解をもつ多峰性関数の最適化", 電子情報通信学会論文誌, Vol.J92-D, No.7, 1003-1014 (2009.7)
    link to PDF file
  24. Tetsuyuki Takahama, Setsuko Sakai, Akira Hara, and Noriyuki Iwane: "Predicting Stock Price Using Neural Networks Optimized by Differential Evolution with Degeneration", International Journal of Innovative Computing, Information and Control (IJICIC), Vol.5, No.12, pp.5021-5031 (2009.12)
    link to PDF file
  25. Takumi Ichimura, Hiroshi Inoue, Akira Hara, Tetsuyuki Takahama and Kenneth J. Mackin: "A Proposal of Memory and Prediction Based Genetic Algorithm Using Speciation in Dynamic Multimodal Function Optimization", Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.15, No.8, pp.1082-1094 (2011.10)
    link to abstract
  26. 高濱徹行, 阪井節子, 原 章: "RDE: 探索点のランク情報を利用した効率的なDifferential Evolutionの提案", 電子情報通信学会論文誌, Vol.J95-D, No.5, pp.1196-1205 (2012.5)
    link to abstract
  27. A.Hara, H.Tanaka, T.Ichimura, and T.Takahama: "Knowledge Acquisition from Many-Attribute Data by Genetic Programming with Clustered Terminal Symbols", International Journal of Knowledge and Web Intelligence, Vol.3, No.2, pp.180-201 (2012.11)
  28. 串田淳一, 原 章, 高濱徹行: "NCRDE:個体間の距離とランク情報に基づくDifferential Evolutionの提案", 電子情報通信学会論文誌, Vol.J97-D, No.10, pp.1604-1615 (2014.10)
    link to abstract
  29. T.Takahama and S.Sakai: "Improving an Adaptive Differential Evolution Using Hill-Valley Detection", International Journal of Hybrid Intelligent Systems, Vol.13, No.1, pp.1-13 (2016.3)
    DOI
  30. 串田淳一,原 章,高濱徹行: "進化的アルゴリズムにおける探索点の順位相関を利用した関数形状の推定", 進化計算学会論文誌, Vol.7, No.2, pp.32-45 (2016.11)
    DOI
  31. T.Takahama, S.Sakai, J. Kuashida and A. Hara: "Particle Swarm Optimization with Mutation Operations Controlled by Landscape Modality Estimation using Hill-Valley Detection", Artificial Life and Robotics, Vol.21, No.4, pp.423-433 (2016.12)
    DOI SharedIt
  32. T.Nishio, J.Kushida, A.Hara, T.Takahama: "Particle swarm optimisation with dynamic search strategies based on rank correlation", International Journal of Computational Intelligence Studies, Vol.6, No.4, pp.311-332 (2018.1)
    DOI
  33. T.Takahama and S.Sakai: "The Velocity Updating Rule According to an Oblique Coordinate System with Mutation and Dynamic Scaling for Particle Swarm Optimization", Artificial Life and Robotics, Vol.23, No.4, pp.618-627 (2018.12)
    DOI SharedIt
  34. 串田淳一,原 章,高濱徹行: "ε制約法とパレート的アプローチを用いたDifferential Evolutionによる複数車両の同時最適化", 進化計算学会論文誌, Vol.10, No.1, pp.2-11 (2020.2)
    DOI
  35. T.Takahama and S.Sakai: "Constrained Optimization by Improved Particle Swarm Optimization with the Equivalent Penalty Coefficient Method", Artificial Life and Robotics, Vol.25, No.4, pp.612-623 (2020.10)
    DOI, SharedIt, Draft PDF file
  36. 串田 淳一, 原 章, 高濱 徹行: "ε制約Differential Evolutionによる摂動量の制約を考慮したAdversarial Examplesの生成", 進化計算学会論文誌, Vol.11, No.3, pp.55-65 (2021.3)
    DOI
  37. T.Kawachi, J.Kushida, A.Hara and T.Takahama: "Efficient Parameter-Free Adaptive Penalty Method with Balancing the Objective Function Value and the Constraint Violation", International Journal of Computational Intelligence Studies, Vol.10, No.2/3, pp.127-160 (2021.5)
    DOI

著書

  1. Y.Isomichi and T.Takahama: "Electronic Tendering System -- A New Pricing System --", In A.Namatame, T.Terano and K.Kurumatani (eds.) Agent-Based Approaches in Economic and Social Complex Systems, IOS press, pp.91-97 (2002)
  2. A.Hara, T.Ichimura, T.Takahama and Y.Isomichi: "Discovery of Cluster Structure and the Clustering Rules from Medical Database Using ADG; Automatically Defined Groups", In T.Ichimura and K.Yoshida (eds.) Knowledge-Based Intelligent Systems for Healthcare, Advanced Knowledge International (Adelaid), pp.51-86 (2004)
  3. T.Takahama, S.Sakai and Y.Isomichi: "Structural Optimization of Neural Networks by Genetic Algorithm with Degeneration (GAd)", In J.C.Rajapakse and L.Wang (eds.) Neural Information Processing: Research and Development, Springer Verlag, pp.256-277 (2004)
  4. S.Sakai and T.Takahama: "Constrained Optimization by α Constrained Genetic Algorithm with Simplex Crossover", In T.Tokimasa, S.Hiraki and N.Kaio (eds.) Applied Economic Informatics and Systems Sciences, Kyushu University Press, pp.173-208 (2005)
  5. S.Sakai and T.Takahama: "Constrained Optimization by Applying a Stochastic Constrained Method to Particle Swarm Optimization", In S.Hiraki and M.Sakaguchi (eds.) System Sciences for Economics and Informatics, Kyushu University Press, pp.71-87 (2007)
  6. T.Takahama and S.Sakai: "Constrained Optimization by the ε Constrained Differential Evolution with Dynamic ε-level Control", in U. Chakraborty (ed.) Advances in Differential Evolution, Springer-Verlag, pp. 139-154 (2008.7)
  7. S.Sakai and T.Takahama: "Multiobjective Optimization by Improved NSGA-II with Extended Crossover and Uniform Distance Selection", In M.Kitahara, K.Ota and Y.Arisada (eds.) Research on Information Society and Social Systems, Kyushu University Press, pp.121-142 (2008.10)
  8. T.Takahama and S.Sakai: "Solving Difficult Constrained Optimization Problems by the ε Constrained Differential Evolution with Gradient-Based Mutation", in E.Mezura-Montes (ed.) Constraint-Handling in Evolutionary Optimization, Springer-Verlag, pp.51-72 (2009.4)
  9. S.Sakai and T.Takahama: "A Parametric Study on Estimated Comparison in Differential Evolution with Rough Approximation Model", in M.Kitahara and K.Morioka (eds.) Social Systems Solution by Legal Informatics, Economic Sciences and Computer Sciences , Kyushu University Press, pp.112-134 (2010.3)
  10. T.Takahama and S.Sakai: "Reducing Function Evaluations Using Adaptively Controlled Differential Evolution with Rough Approximation Model", in Y.Tenne and C.-K. Goh (eds.) Computational Intelligence in Expensive Optimization Problems, Springer-Verlag, pp.111-129 (2010.4)
  11. S.Sakai and T.Takahama: "RIDE: Differential Evolution with a Rotation-Invariant Crossover Operation for Nonlinear Optimization", in S.Hiraki and N.Zhang (eds.) The New Viewpoints and New Solutions of Economic Sciences in the Information Society, Kyushu University Press, pp.85-108 (2011.3)
  12. S.Sakai and T.Takahama: "A Comparative Study on Neighborhood Structures for Speciation in Species-Based Differential Evolution", in M.Kitahara and C.Czerkawski (eds.) Social Systems Solutions Applied by Economic Sciences and Mathematical Solutions, Kyushu University Press, pp.111-135 (2012.3)
  13. S.Sakai and T.Takahama: "A Comparative Study on Graph-Based Speciation Methods for Species-Based Differential Evolution", in M.Kitahara and C.Czerkawski (eds.) Social Systems Solutions through Economic Sciences, Kyushu University Press, pp.105-125 (2013.3)
  14. S.Sakai and T.Takahama: "A Comparative Study on Estimation Methods of Landscape Modality for Evolutionary Algorithms", in M.Kitahara and C.Czerkawski (eds.) Legal Informatics, Economic Science and Mathematical Research, Kyushu University Press, pp.55-80 (2014.3)
  15. T.Takahama and S.Sakai: "Efficient Constrained Optimization by the ε Constrained Differential Evolution with Rough Approximation", in R. Datta, K. Deb (eds.) Evolutionary Constrained Optimization, Springer, pp.157-180 (2014.12)
  16. S.Sakai and T.Takahama: "A Study on Adaptive Parameter Control for Interactive Differential Evolution Using Pairwise Comparison", in M.Kitahara and K.Okamura (eds.) New Solutions in Legal Informatics, Economic Sciences and Mathematics, Kyushu University Press, pp.101-121 (2015.3)
  17. S.Sakai and T.Takahama: "A Comparative Study on Detecting Ridge Structure for Population-Based Optimization Algorithms", in M.Kitahara and H.Teramoto (eds.) Contemporary Works in Economic Sciences: Legal Informatics, Economics, OR and Mathematics, Kyushu University Press, pp.61-82 (2016.2)
  18. S.Sakai and T.Takahama: "A Comparative Study on Grouping Methods for an Adaptive Differential Evolution", in M.Kitahara and H.Teramoto (eds.) Challenging Researches in Economic Sciences: Legal Informatics, Environmental Economics, Economics, OR and Mathematics, Kyushu University Press, pp.51-91 (2017.3)
  19. S.Sakai and T.Takahama: "A Study on Selecting an Oblique Coordinate System for Rotation-Invariant Blend Crossover in a Real-Coded Genetic Algorithm", in A.Kadoya and H.Teramoto (eds.) Recent Studies in Economic Sciences: Information Systems, Project Managements, Economics, OR and Mathematics, Kyushu University Press, pp.65-87 (2018.2)
  20. S.Sakai and T.Takahama: "A Study on an Equivalent Penalty Coefficient Value for Adaptive Control of the Penalty Coefficient in Constrained Optimization by Differential Evolution", in K.Morioka and A.Kadoya (eds.) Advanced Studies in Economic Sciences: Information Systems, Economics and OR, Kyushu University Press, pp.65-86 (2019.2)
  21. S.Sakai and T.Takahama: "A Study on a Directional Mutation Operation for an Adaptive Differential Evolution", in A.Kadoya and J.Maeda (eds.) Current Researches for Applied Economics, Information Systems, Mathematics and OR, Kyushu University Press, pp.59-71 (2020.2)
  22. S.Sakai and T.Takahama: "Graph-Based Speciation Using β-Relaxed Relative Neighborhood Graph for Multimodal Optimization by Differential Evolution", in J.Maeda, K.Okamura and H.Dekihara (eds.) New Approaches for Operations Research and Applied Economics, Kyushu University Press, pp.15-40 (2021.2)

国際会議

  1. T.Takahama and S.Sakai: "Learning Fuzzy Rules for Bang-Bang Control by Reinfocement Learning Method", Proc. of 1996 International Fuzzy Systems and Intelligent Controls Conference, pp.193-202 (1996.4)
  2. S.Sakai and T.Takahama: "Learning fuzzy control rules by α constrained Simplex method", Proc. of the 4th Asian/Pacific International Symposium on Instrumentation, Measurement & Automatic Control (IMC'99), pp.240-246 (1999.8)
  3. T.Takahama and S.Sakai: "Learning Fuzzy Control Rules by α Constrained Powell's Method", Proc. of 1999 IEEE International Fuzzy Systems Conference, Vol.2, pp.650-655 (1999.8)
  4. T.Takahama and S.Sakai: "An Optimization Algorithm ``Team Model''", Proc. of 1999 IEEE International Conference on Systems, Man, and Cybernetics, Vol.3, pp.563-568 (1999.10)
  5. S.Oeda,T.Ichimura,M.Terauchi,T.Takahama and Y.Isomichi: "Adaptive Evolutional Method of Neural Networks using Genetic Algorithms under Dynamic Environments", Proc. of Fourth International Conference on Knowledge-Based Intelligent Engineering Systems & Allied Technologies (KES'2000), Vol.2, pp.742-745 (2000.8)
  6. T.Takahama and S.Sakai: "Multiobjective Nonlinear Optimization Method ``Vector Simplex''", In "Parametric Optimization and Related Topics V" (J.Guddat, R.Hirabayashi, H.Jongen, F.Twilt eds.), Proc. of the International Conference on Parametric Optimization and Related Topics V, Peter Lang Publ., Frankfurt am Main, pp.179-193 (2000)
  7. T.Takahama and S.Sakai: "Team Model and Taught-by-the-best Operation", Proc. of the Congress on Evolutionary Computation 2001 (CEC2001, Seoul, Korea), Vol.2, pp.1093-1100 (2001.5)
  8. Y.Isomichi and T.Takahama: "Electronic Tendering System -- A New Pricing System --", Proc. of First International Workshop on Agent-based Approaches in Economics and Social Complex Systems, pp.163-168 (2001.5)
  9. S.Sakai and T.Takahama: "Learning Fuzzy Control Rules by Vector Simplex Method", Proc. of Joint 9th IFSA World Congress and 20th NAFIPS International Conference (IFSA/NAFIPS 2001, Vancouver, Canada), Vol.5, pp.2541-2546 (2001.7)
  10. S.Oeda, T.Ichimura, M.Terauchi, T.Takahama and Y.Isomichi: "Darwinian Inheritance Genetic Learning Method of Neural Networks Under Dynamic Environment", Proc. of the INNS-IEEE International Joint Conference on Neural Networks (IJCNN2001), pp.2235-2240 (2001.7)
  11. T.Takahama and S.Sakai: "Learning Game Strategy by Multi-Agent TD Players", Proc. of 2nd International Conference on Software Engineering, Artificial Intelligence, Networking & Parallel/Distributed Computing (SNPD'01), pp.731-738 (2001.8)
  12. T.Ichimura, H.Ishida, M.Terauchi, T.Takahama and Y.Isomichi: "Extraction of emotion from facial expression by parallel sand glass type neural networks", Proc. of the 5th International Conference on Knowledge-Based Intelligent Engineering Systems & Allied Technologies (KES2001), Vol.1, pp.988-992 (2001.9)
  13. T.Ichimura, A.Sugihara, T.Takahama, Y.Isomichi and K.Yoshida: "A Proposal of Interactive Tool for Implementing a Sequence of Learning Tasks in a Drill and Practice by Fuzzy Petri Nets and its Application to E-learning System for the National Examination for Medical Practitioners", Proc. of the 2nd Vietnam-Japan Bilateral Symposium on Fuzzy Systems and Applications (VJFUZZY'2001), pp.210-217(2001.12)
  14. T.Takahama and S.Sakai: "Learning Game Strategy in an Artificial Game Society", Proc. of Pan-Yellow-Sea International Workshop on Information Technologies for Network Era 2002 (PYIWIT'02), pp. 172-179 (2002.3)
  15. T.Takahama and S.Sakai: "Structural Learning by Genetic Algorithm with Damaged Genes", Proc. of the IASTED International Conference on Artificial and Computational Intelligence (ACI 2002, Tokyo, Japan), pp.161-166, ACTA Press, Anaheim, USA (2002.9)
  16. T.Takahama and S.Sakai: "Structural Optimization of Neural Network by Genetic Algorithm with Damaged Genes", Proc. of the 9th International Conference on Neural Information Processing (ICONIP'02, Singapore), Vol.3, pp.1211-1215 (2002.11)
  17. T.Takahama and S.Sakai: "Learning Structure of RBF-Fuzzy Rule Bases by Degeneration", Proc. of 2003 International Conference on Fuzzy Information Processing (FIP2003, Beijing, China), Vol.2, pp.611-616 (2003.3)
  18. Y. Isomichi and T. Takahama: "New Pricing Systems for Electronic Commercial Transaction and Electronic Tender", International Applied Business Research Conference (Acapulco, Mexico) (2003.3)
  19. T.Ichimrua, A.Hara, T.Takahama, Y.Isomichi, and R.Utunomiya: "Multi-Objective Decision Making by AHP and its Application to Personal Preference Retrieval System", Proc. of the 7th International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES2003), Vol.II, pp.474-480 (2003.9)
  20. A.Hara, T.Ichimura, T.Takahama, and Y.Isomichi: "Extraction of Rules by Heterogeneous Agents Using Automatically Defined Groups" , Proc. of the 7th International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES2003), Vol.II, pp.1405-1411 (2003.9)
  21. T.Takahama, S.Sakai and N.Iwane: "Structural Learning of RBF-Fuzzy Rule Bases Based on Information Criteria and Degeneration", Proc. of 2003 IEEE International Conference on Systems, Man, and Cybernetics (SMC2003, Washington D.C., USA), pp.2581-2586 (2003.10)
  22. T.Takahama and S.Sakai: "Constrained Optimization by Combining the α Constrained Method with Particle Swarm Optimization", Proc. of Joint 2nd International Conference on Soft Computing and Intelligent Systems and 5th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2004,Yokohama,Japan) (2004.9)
    PDF file (97KB)
  23. A.Hara, T.Ichimura, T.Takahama, and Y.Isomichi: "Extraction of Diagnostic Rules from Coronary Heart Disease Database Using Automatically Defined Groups", Proc. of the 8th International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES2004), Vol.II, pp.1089-1096 (2004.9)
  24. T.Takahama and S.Sakai: "Structural Learning of Neural Networks by Coevolutionary Genetic Algorithm with Degeneration", Proc. of 2004 IEEE International Conference on Systems, Man, and Cybernetics (SMC2004, Hague, Netherlang), pp.3507-3512 (2004.10)
  25. T.Takahama and S.Sakai: "Constrained Optimization by ε Constrained Particle Swarm Optimizer with ε-level Control", Proc. of the 4th IEEE International Workshop on Soft Computing as Transdisciplinary Science and Technology (WSTST'05), pp.1019-1029 (2005.5)
  26. Akira Hara, Takumi Ichimura, Tetsuyuki Takahama, Yoshinori Isomichi and Motoki Shigemi: "Effect of Direct Communication in Ant System", Proc. of the 9th Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES2005), Vol.I, pp.925-931 (2005.9)
  27. Toshihiro Ikeda, Akira Hara, Takumi Ichimura, Tetsuyuki Takahama, Yuko Taniguchi, Hiroshige Yamada, Ryota Hakozaki and Haruo Sakuda: "Multi-agent Cluster System for Optimal Performance in Heterogeneous Computer Environments", Proc. of the 9th Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES2005), Vol.I, pp.932-937 (2005.9)
  28. Akira Hara, Takumi Ichimura, Tetsuyuki Takahama and Yoshinori Isomichi: "Extractin of Risk Factors by Multi-agent Voting Model Using Automatically Defined Groups", Proc. of the 9th Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES2005), Vol.III, pp.1218-1224 (2005.9)
  29. Tetsuyuki Takahama, Setsuko Sakai and Noriyuki Iwane: "Constrained Optimization by the ε Constrained Hybrid Algorithm of Particle Swarm Optimization and Genetic Algorithm", Proc. of the 18th Australian Joint Conference on Artificial Intelligence (AI2005, Sydney, Australia), Lecture Notes in Computer Science 3809, Springer-Verlag, pp.389-400 (2005.12)
  30. Tetsuyuki Takahama and Setsuko Sakai: "Solving Constrained Optimization Problems by the ε Constrained Particle Swarm Optimizer with Adaptive Velocity Limit Control", Proc. of the 2nd IEEE International Conference on Cybernetics & Intelligent Systems (CIS2006, Bangkok, Thailand), pp. 683-689 (2006.6)
    PDF file
  31. Tetsuyuki Takahama and Setsuko Sakai: "Constrained Optimization by the ε Constrained Differential Evolution with Gradient-Based Mutation and Feasible Elites", Proc. of 2006 IEEE Congress on Evolutionary Computation (CEC2006, Vancouver, Canada), pp.308-315 (2006.7)
    受賞: 2006 IEEE Congress on Evolutionary Computation Competition Program Award -- Nonlinear Programming
    PDF file
  32. Akira Hara, Takumi Ichimura, Nobuyuki Fujita and Tetsuyuki Takahama: "Effective Diversification of Ant-Based Search Using Colony Fission and Extinction", Proc. of 2006 IEEE Congress on Evolutionary Computation (CEC2006, Vancouver, Canada), pp.3773-3780 (2006.7)
  33. T.Ichimura, K.Sakaguchi, A.Hara, and T.Takahama: "A Proposal of Interactive Genetic Network Programming by Fuzzy Structural Modeling", Proc. of 2006 IEEE Conference on Systems, Man, and Cybernetics (Taipei, Taiwan), pp.1172-1177 (2006.10)
  34. T.Takahama, S.Sakai and Noriyuki Iwane: "Solving Nonlinear Constrained Optimization Problems by the ε Constrained Differential Evolution", Proc. of 2006 IEEE Conference on Systems, Man, and Cybernetics (SMC2006, Taipei, Taiwan), pp.2322-2327 (2006.10)
    PDF file
  35. Miyuki Shibasaka, Akira Hara, Takumi Ichimura and Tetsuyuki Takahama: "Species-Based Differential Evolution with Switching Search Strategies for Multimodal Function Optimization", Proc. of 2007 IEEE Congress on Evolutionary Computation (CEC2007, Singapore), pp.1183-1190 (2007.9)
  36. Tetsuyuki Takahama, Setsuko Sakai, Akira Hara, and Noriyuki Iwane: "Structural Learning of Neural Networks by Differential Evolution with Degeneration using Mappings", Proc. of 2007 IEEE Congress on Evolutionary Computation (CEC2007, Singapore), pp.3434-3441 (2007.9)
    PDF file
  37. Tetsuyuki Takahama and Setsuko Sakai: "Reducing Function Evaluations in Differential Evolution using Rough Approximation-Based Comparison", Proc. of 2008 IEEE Congress on Evolutionary Computation (CEC2008, Hong Kong), pp.2307-2314 (2008.6)
    PDF file DOI
  38. Tetsuyuki Takahama, Setsuko Sakai: "Efficient Optimization by Differential Evolution using Rough Approximation Model with Adaptive Control of Error Margin", Proc. of the Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2008, Nagoya), pp.1238-1243 (2008.9)
  39. Akira Hara, Hitomi Inoue, Takumi Ichimura, Tetsuyuki Takahama: "Presentation of Diverse Solutions by Ant Colony Optimization with Tabu Search", Proc. of the Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2008, Nagoya), pp.1412-1417 (2008.9)
  40. Tetsuyuki Takahama, Setsuko Sakai, Akira Hara, Noriyuki Iwane: Predicting Stock Price using Neural Networks Optimized by Differential Evolution with Degeneration, 2008 International Symposium on Intelligent Informatics (ISII2008, Kumamoto), p.20(extended abstract), (2008.12)
  41. Tetsuyuki Takahama and Setsuko Sakai: "A Comparative Study on Kernel Smoothers in Differential Evolution with Estimated Comparison Method for Reducing Function Evaluations", Proc. of 2009 IEEE Congress on Evolutionary Computation (CEC2009, Trondheim, Norway), pp.1367-1374 (2009.5)
    PDF file DOI
  42. Tetsuyuki Takahama and Setsuko Sakai: "Constrained Optimization by the Epsilon Constrained Differential Evolution with an Archive and Gradient-Based Mutation", Proc. of 2010 IEEE Congress on Evolutionary Computation (CEC2010, Barcelona, Spain), 1680-1688 (2010.7)
    受賞: IEEE Computational Intelligence Society, 2010 Congress on Evolutionary Computation Competition on Real-Parameter Optimization
    PDF file PPT file DOI
  43. Tetsuyuki Takahama and Setsuko Sakai: "Efficient Constrained Optimization by the Epsilon Constrained Adaptive Differential Evolution", Proc. of 2010 IEEE Congress on Evolutionary Computation (CEC2010, Barcelona, Spain), 2052-2059 (2010.7)
    PDF file DOI
  44. Akira Hara, Syuhei Matsushima, Takumi Ichimura and Tetsuyuki Takahama: "Ant Colony Optimization Using Exploratory Ants for Constructing Partial Solutions", Proc. of 2010 IEEE Congress on Evolutionary Computation (CEC2010, Barcelona, Spain), pp. 1140-1146 (2010.7)
  45. Akira Hara, Souichi Tanabe, Takumi Ichimura, and Tetsuyuki Takahama: "Effective Diversification of Ant-Based Search by Considering Agent Traffic in Edges", Proceedings of SICE Annual Conference 2010 (Taipei, Taiwan), pp.684-689 (2010.8)
  46. Akira Hara, Kotaro Muraoka, Takumi Ichimura, and Tetsuyuki Takahama: "Cartesian genetic programming with reusable genes", Proceedings of The 14th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES2010, Hiroshima), pp.69-78 (2010.11)
  47. Akira Hara, Takumi Ichimura, Hirotaka Seo, and Tetsuyuki Takahama: "Multi-Colony Max-Min Ant System Blocking Edges in Local Optima", Proceedings of Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2010,Okayama), pp.1322-1328 (2010.12)
  48. Takumi Ichimura, Hiroshi Inoue, Akira Hara, Tetsuyuki Takahama: "Memory and Prediction Based Genetic Algorithm Using Speciation in Dynamic Multimodal Function Optimization", Proceedings of Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2010,Okayama), pp.1335-1340 (2010.12)
  49. Tetsuyuki Takahama and Setsuko Sakai: "Solving Nonlinear Optimization Problems by Differential Evolution with a Rotation-Invariant Crossover Operation using Gram-Schmidt process", Proceedings of the World Congress on Nature and Biologically Inspired Computing (NaBIC2010,Kitakyushu), pp.533-540 (2010.12)
    PDF file DOI
  50. Tetsuyuki Takahama and Setsuko Sakai: "Efficient Nonlinear Optimization by Differential Evolution with a Rotation-Invariant Local Sampling Operation", Proc. of 2011 IEEE Congress on Evolutionary Computation (CEC2011, New Orleans, USA), pp.2215-2222 (2011.6)
    PDF file DOI
  51. Tetsuyuki Takahama and Setsuko Sakai: "Fuzzy C-Means Clustering and Partition Entropy for Species-Best Strategy and Search Mode Selection in Nonlinear Optimization by Differential Evolution", Proc. of 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2011, Taipei, Taiwan), pp.290-297 (2011.6)
    PDF file DOI
  52. Akira Hara, Manabu Watanabe, and Tetsuyuki Takahama: "Cartesian Ant Programming", Proc. of 2011 IEEE International Conference on Systems, Man, and Cybernetics (SMC2011, Anchorage, USA), pp.3161-3166 (2011.10)
  53. Tetsuyuki Takahama and Setsuko Sakai: "Efficient Constrained Optimization by the Epsilon Constrained Rank-Based Differential Evolution", Proc. of 2012 IEEE Congress on Evolutionary Computation (CEC2012, Brisbane, Australia), pp.62-69 (2012.6)
    PDF file DOI
  54. Tetsuyuki Takahama and Setsuko Sakai: "Differential Evolution with Dynamic Strategy and Parameter Selection by Detecting Landscape Modality", Proc. of 2012 IEEE Congress on Evolutionary Computation (CEC2012, Brisbane, Australia), pp.2114-2121 (2012.6)
    PDF file DOI
  55. Tetsuyuki Takahama and Setsuko Sakai: "Large Scale Optimization by Differential Evolution with Landscape Modality Detection and a Diversity Archive", Proc. of 2012 IEEE Congress on Evolutionary Computation (CEC2012, Brisbane, Australia), pp.2842-2849 (2012.6)
    PDF file DOI
  56. Tetsuyuki Takahama and Setsuko Sakai: "Differential Evolution with Graph-Based Speciation by Competitive Hebbian Rules", Proc. of the Sixth International Conference on Genetic and Evolutionary Computing (ICGEC2012, Kitakyushu), pp.445-448 (2012.8)
    PDF file DOI
  57. Akira Hara, Yoshimasa Ueno and Tetsuyuki Takahama: "New Crossover Operator Based on Semantic Distance between Subtrees in Genetic Programming", Proc. of 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC2012, Seoul, Korea),pp.721-726 (2012.10)
  58. Akira Hara, Kazumasa Shiraga and Tetsuyuki Takahama: "Heterogeneous Particle Swarm Optimization Including Predator-Prey Relationship", Proc. of The 6th International Conference on Soft Computing and Intelligent Systems & The 13th International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2012, Kobe),pp.1368-1373 (2012.11)
  59. Tetsuyuki Takahama and Setsuko Sakai: "Efficient Constrained Optimization by the ε Constrained Differential Evolution with Rough Approximation Using Kernel Regression", Proc. of 2013 IEEE Congress on Evolutionary Computation (CEC2013, Cancun, Mexico), pp.1334-1341 (2013.6)
    PDF file DOI
  60. Akira Hara, Jun-ichi Kushida, Koji Kitao, and Tetsuyuki Takahama: "Neuroevolution by Particle Swarm Optimization with Adaptive Input Selection for Controlling Platform-Game Agent", Proc. of 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC2013), pp.2504-2509 (2013)
  61. Tetsuyuki Takahama and Setsuko Sakai: "Selecting Strategies in Particle Swarm Optimization by Sampling-Based Landscape Modality Detection", Proc. of the 2014 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'14, Las Vegas, USA), pp.215-221 (2014.7)
    PDF file
  62. Tetsuyuki Takahama and Setsuko Sakai: "Selecting Strategies in Particle Swarm Optimization by Sampling-Based Landscape Modality Detection using Inner Products", Proc. of SICE Annual Conference 2014 (SICE2014, Sapporo), pp.1561-1566 (2014.9)
    PDF file DOI
  63. Akira Hara, Jun-ichi Kushida, Takeyuki Nobuta and Tetsuyuki Takahama: "Rank-based Semantic Control Crossover in Genetic Programming", Proc. of the 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC2014), pp.515-520 (2014.10)
  64. Tetsuyuki Takahama and Setsuko Sakai: "An Adaptive Differential Evolution Considering Correlation of Two Algorithm Parameters", Proc. of the Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2014, Kitakyushu), pp.618-623 (2014.12)
    PDF file DOI
  65. Tetsuyuki Takahama and Setsuko Sakai: "Emerging Collective Intelligence in Othello Players Evolved by Differential Evolution", Proc. of the 2015 IEEE Conference on Computational Intelligence and Games (CIG2015, Tainan, Taiwan), pp.214-221 (2015.8)
    PDF file
  66. Tetsuyuki Takahama and Setsuko Sakai: "Improving Particle Swarm Optimization by Estimating Landscape Modality Using a Proximity Graph", Proc. of the First International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM2015, Kyoto), pp.356-363 (2015.10)
  67. Tetsuyuki Takahama and Setsuko Sakai: "Improving an Adaptive Differential Evolution Using Hill-Valley Detection", Proc. of the 7th International Conference on Soft Computing and Pattern Recognition (SoCPaR2015, Hakata), pp.284-289 (2015.11)
  68. Tetsuyuki Takahama and Setsuko Sakai: "Learning Game Players by an Evolutionary Approach Using Pairwise Comparison without Prior Knowledge", Proc. of International Conference on Intelligent Informatics and BioMedical Sciences 2015 (ICIIBMS2015, Onna, Okinawa), pp.121-127 (2015.11)
  69. Akira Hara, Takuya Mototsuka, Jun-ichi Kushida and Tetsuyuki Takahama: "Genetic Programming Using the Best Individuals of Genealogies for Maintaining Population Diversity," Proc. of the 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC2015), pp. 2690-2696 (2015.10)
    DOI
  70. Tetsuyuki Takahama and Setsuko Sakai: "An Adaptive Differential Evolution with Adaptive Archive Selection and Hill-Valley Detection", Proc. of the 2016 IEEE Congress on Evolutionary Computation (CEC2016, Vancouver, Canada), pp.48-55 (2016.7)
    PDF file DOI
  71. Akira Hara, Jun-ichi Kushida, and Tetsuyuki Takahama: "Deterministic Geometric Semantic Genetic Programming with Optimal Mate Selection”, Proc. of the 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC2016), pp.3387-3392 (2016.10)
    DOI
  72. Tetsuyuki Takahama and Setsuko Sakai: "An Adaptive Differential Evolution with Learning Parameters According to Groups Defined by the Rank of Objective Values", Proc. of the Eighth International Conference on Swarm Intelligence (ICSI2017, Fukuoka), pp.411-419 (2017.7)
    PDF file DOI
  73. Tetsuyuki Takahama and Setsuko Sakai: "An Adaptive Differential Evolution with Exploitation and Exploration by Extreme Individuals", Proc. of SICE Annual Conference 2017 (SICE2017, Kanazawa), pp.1147-1152 (2017.9)
    DOI
  74. Tetsuyuki Takahama and Setsuko Sakai: "Particle Swarm Optimization with the Velocity Updating Rule According to an Oblique Coordinate System", Proc. of the 2nd International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM2017, Kyoto), pp.70-77 (2017.10)
  75. Akira Hara, Jun-ichi Kushida, Takamichi Yamagata and Tetsuyuki Takahama, "The Influence of Generation Alternation Model on Search Performance in Deterministic Geometric Semantic Genetic Programming", Proc. of 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC2017), pp.588-593 (2017.10)
  76. Akira Hara, Jun-ichi Kushida, Ryota Takemoto and Tetsuyuki Takahama: “Artificial Bee Colony Programming Using Semantic Control Crossover”, 2018 IEEE International Conference on Systems, Man, and Cybernetics, pp.189-194, (2018.10)
  77. Tetsuyuki Takahama and Setsuko Sakai: "Grouping of Genes According to Correlation Coefficients and Grouping-Based Crossover for Adaptive Differential Evolution", The 50th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'18, Kyoto), extended abstract, pp.115-116 (2018.11)
    PDF file
  78. Tetsuyuki Takahama and Setsuko Sakai: "A New Binomial Crossover Considering Correlation Among Decision Variables for Adaptive Differential Evolution", Proc. of Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2018, Toyama), pp.467-473 (2018.12)
    PDF file
  79. Tetsuyuki Takahama and Setsuko Sakai: "An Equivalent Penalty Coefficient Method: An Adaptive Penalty Approach for Population-Based Constrained Optimization", Proc. of 2019 IEEE Congress on Evolutionary Computation (CEC2019, Wellington, New Zealand), pp.1621-1628 (2019.6)
    PDF file DOI
  80. Akira Hara, Jun-ichi Kushida, and Tetsuyuki Takahama: "Time Series Prediction Using Deterministic Geometric Semantic Genetic Programming", Proc. of 2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC2019), pp.1945-1949 (2019.10)
  81. Tetsuyuki Takahama and Setsuko Sakai: "Constrained Optimization by Improved Particle Swarm Optimization with the Equivalent Penalty Coefficient Method", Proc. of the 3rd International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM2019, Okinawa, Onna), pp.266-273 (2019.11)
    PDF file
    Best Paper Award : The 3rd International Symposium on Swarm Behavior and Bio-Inspired Robotics
  82. Akira Hara, Jun-ichi Kushida, Tetsuyuki Takahama: "Maintaining Population Diversity in Deterministic Geometric Semantic Genetic Programming by Epsilon-Lexicase Selection", Proc. of the 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC2020), pp. 205-210 (2020.10)
  83. Tetsuyuki Takahama and Setsuko Sakai: "Adaptive Directional Mutation for an Adaptive Differential Evolution Algorithm", Proc. of Joint 11th International Conference on Soft Computing and Intelligent Systems and 21th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2020, online), pp.262-268 (2020.12)
    PDF file
  84. Tetsuyuki Takahama and Setsuko Sakai: "Multimodal Optimization by Particle Swarm Optimization with Graph-Based Speciation Using β-Relaxed Relative Neighborhood Graph", Proc. of the 15th International Symposium on Distributed Autonomous Robotic Systems 2021 and the 4th International Symposium on Swarm Behavior and Bio-Inspired Robotics 2021 (DARS-SWARM2021, online), pp.194-205 (2021.6)
    PDF file
    Best Paper Award : The 4th International Symposium on Swarm Behavior and Bio-Inspired Robotics
  85. Tetsuyuki Takahama and Setsuko Sakai: "An Adaptive Differential Evolution Algorithm Utilizing Failure Information and Success Information", Proc. of the 2021 IEEE Congress on Evolutionary Computation (CEC2021, online), pp.17-24 (2021.6)

研究報告

  1. 阪井節子, 佐藤和枝, 佐藤直子, 高濱徹行, 宮阪憲治: "低学年算数問題文章における自然言語理解について", 福井大学教育学部紀要 第V部 応用科学(技術編), No.28, pp.1-19 (1995.3)
  2. 高濱徹行, 阪井節子: "退化の発現による最適構造の発見", 人工知能学会研究会資料, SIG-FAI-A002-2, pp.7-12 (2000.9)
  3. 阪井節子, 高濱徹行 : "多目的非線形最適化手法の一提案−Vector Simplex法−", 最適化の数理科学, 数理解析研究所講究録1174, pp.169-178 (2000.10)
    link to PDF file
  4. 阪井節子, 高濱徹行 : "制約付き非線形最適化手法の一提案−α制約遺伝的アルゴリズム−", 最適化の数理とアルゴリズム, 数理解析研究所講究録1297, pp.28-37 (2002.12)
    link to PDF file
  5. 阪井節子, 高濱徹行 : "α制約パーティクルスォームオプティマイザαPSO による制約付き最適化", 不確実性科学と意思決定の数理と応用, 数理解析研究所講究録1457, pp.233-240 (2005.11)
    link to PDF file
  6. 阪井節子, 高濱徹行 : "確率的比較を用いた制約付き最適化手法「確率的変換法」の提案", 不確実性の下での意思決定と数理モデル, 数理解析研究所講究録1477, pp.1-10 (2006.3)
    link to PDF file
  7. 阪井節子, 高濱徹行 : "最適化手法における関数評価回数の削減手法−ポテンシャルモデルに基づく比較推定法の提案−", 不確実性を含む意思決定の数理とその応用, 数理解析研究所講究録1548, pp.61-70 (2007.4)
    link to PDF file
  8. 阪井節子, 高濱徹行 : "比較推定による最適化アルゴリズムの効率性向上", 最適化問題における確率モデルの展開と応用, 数理解析研究所講究録1559, pp.22-33 (2007.6)
    link to PDF file
  9. 阪井節子, 高濱徹行 : "ε制約 Differential Evolution による制約付き最適化", 数値最適化の理論と実際, 数理解析研究所講究録1584, pp.90-101 (2008.2)
    link to PDF file
  10. 阪井節子, 高濱徹行 : "多目的最適化手法NSGAIIにおける等距離選択の効果について", 不確実な状況における意思決定の理論の展開と応用, 数理解析研究所講究録1589, pp.53-64 (2008.4)
    link to PDF file
  11. 阪井節子, 高濱徹行: "低精度近似モデルを利用したDEによる効率的最適化−許容誤差パラメータに関する適応制御の提案−", 日本オペレーションズ・リサーチ学会2008年秋季研究発表会アブストラクト集, pp.246-247 (2008.9)

  12. 阪井節子, 高濱徹行 : "退化を導入したDifferential Evolution により最適化されたニューラルネットワークによる株価予測", 不確実性と意思決定の数理, 数理解析研究所講究録1636, pp.79-87 (2009.4)
    link to PDF file
  13. 阪井節子, 高濱徹行 : "多次元空間における近傍構造を利用した最適化アルゴリズムに関する一検討", 不確実・不確定性下での意思決定過程, 数理解析研究所講究録1682, pp.184-192 (2010.4)
    link to PDF file
  14. 阪井節子, 高濱徹行 : "Differential Evolutionによる非線形最適化---直交ベクトルを用いた回転不変性を有する交叉の実現---", 不確実性下における意思決定問題, 数理解析研究所講究録1734, pp.188-195 (2011.3)
    link to PDF file
  15. 阪井節子, 高濱徹行 : "制約付き最適化手法ε制約 Differential Evolution における探索点のランク情報の利用法に関する一考察", 不確実・不確定環境下における数理的意思決定とその周辺, 数理解析研究所講究録1802, pp.34-41 (2012.7)
    link to PDF file
  16. Setsuko Sakai, Tetsuyuki Takahama: "Large Scale Optimization by Adaptive Differential Evolution with Landscape Modality Detection and a Diversity Archive", Journal of Business Studies (近畿大学商経学叢), Vol.58, No.3, pp.605-627 (2012.3)
  17. 阪井節子,高濱徹行 : "巣形成と役割分担を用いた最適化手法に関する一考察", 確率的環境下での意思決定解析, 数理解析研究所講究録1864, pp.20-29 (2013.11)
    link to PDF file
  18. 阪井節子, 高濱徹行 : "巣形成と役割分担を用いた最適化手法の改良", 決定過程に関わる数理モデルの新たな展開と応用, 数理解析研究所講究録1857, pp.1-18 (2013.10)
    link to PDF file
  19. 阪井節子,高濱徹行 : "比較推定法におけるGradient Boostingの利用に関する一考察", 不確実性の下での数理的意思決定の理論と応用, 数理解析研究所講究録1912, pp.121-130 (2014.8)
    link to PDF file
  20. 阪井節子,高濱徹行 : "パラメータの相関を考慮した適応型差分進化アルゴリズムJADEの改良", 不確実性の下での数理モデルとその周辺, 数理解析研究所講究録1939, pp.114-124 (2015.4)
    link to PDF file
  21. 阪井節子,高濱徹行 : "レーティングシステムを利用した差分進化によるコンピュータオセロプレイヤーの学習", 不確実・不確定性の下での数理意思決定モデルとその周辺, 数理解析研究所講究録1990, pp.136-145 (2016.4)
    link to PDF file
  22. 阪井節子,高濱徹行 : "適応型差分進化JADEにおける個体順位に基づくグループ別パラメータ制御", 確率的環境下における数理モデルの理論と応用, 数理解析研究所講究録2044, pp.159-170 (2017.9)
    link to PDF file
  23. 阪井節子,高濱徹行 : "変数間依存性を解消する変換を導入したブレンド交叉の提案", 不確実性の下での意思決定理論とその応用:計画数学の展開, 数理解析研究所講究録2078, pp.65-72 (2018.7)
    link to PDF file
  24. 阪井節子,高濱徹行 : "集団的降下法に対するペナルティ係数の適応的調整法の提案", 確実性の下での意思決定の数理とその周辺, 数理解析研究所講究録2126, pp.53-62 (2019.8)
    link to PDF file
  25. 阪井節子,高濱徹行 : "相関係数を用いた遺伝子のグループ化に基づくグループ交叉を導入した適応的差分進化", 不確実性・不確定性の下における数理的意思決定の理論と応用, 数理解析研究所講究録2158, pp.110-119 (2020.6)
    link to PDF file

講演

  1. 高濱徹行: "正負のスキーマに基づく遺伝的アルゴリズム", 第50回情報処理学会全国大会講演論文集, Vol.2, pp.277-278 (1995.3)
  2. 高濱徹行, 阪井節子, 飯塚由紀子, 佐藤直子: "初等算数文章題のためのCAIシステム", 言語処理学会第1回年次大会発表論文集, pp.225-228 (1995.3)
  3. 高濱徹行, 阪井節子: "多目的最適化によるファジィ制御規則の獲得について", 第6回日本ファジィ学会北信越支部ファジィシンポジウム, pp.63-66 (1997.9)
  4. 阪井節子, 高濱徹行: "多目的非線形最適化に関する一提案 ---ベクトルSimplex法---", 「システムの最適化とOR」研究会 (1997.10)
  5. 高濱徹行, 阪井節子: "多目的最適化手法とファジィ制御規則の学習について", 第56回情報処理学会全国大会講演論文集, Vol.2, pp.72-73 (5M-8) (1998.3)
  6. 高濱徹行, 阪井節子: "α制約法による倒立振子ファジィ制御規則の学習", 第57回情報処理学会全国大会講演論文集, Vol.1, pp.270-271 (4P-2) (1998.10)
  7. 高濱徹行, 阪井節子: "最適化アルゴリズム「チームモデル」の提案", 第58回情報処理学会全国大会講演論文集, Vol.2, pp.181-182 (1999.3)
  8. 高濱徹行, 阪井節子: "格子構造を持つファジィ推論ルールの学習アルゴリズム", 第15回ファジィシステムシンポジウム講演論文集, pp.487-490 (1999.6)
  9. 高濱徹行, 阪井節子: "チームモデルにおけるチームサイズの検討", 第59回情報処理学会全国大会講演論文集, Vol.1, pp.259-260 (1999.9)
  10. 高濱徹行, 阪井節子: "多目的非線形最適化手法Vector Simplex II", 第60回情報処理学会全国大会講演論文集, Vol.1, pp.291-292 (2000.3)
  11. 高濱徹行, 阪井節子: "変異遺伝子を導入した遺伝的アルゴリズムMGGAによる構造学習", 第61回情報処理学会全国大会講演論文集, Vol.2, pp.65-66 (2000.10)
  12. 高濱徹行, 阪井節子: "変異遺伝子を導入した遺伝的アルゴリズムMGGAによる構造進化", 第15回ファジィ・ワークショップ講演論文集, pp.51-58 (2000.11)
  13. 高濱徹行, 阪井節子: "マルチエージェントによるTD法に基づくゲーム戦略の学習", 第11回ソフトサイエンス・ワークショップ講演論文集, pp.138-141 (2001.3)
  14. 高濱徹行, 阪井節子: "α制約遺伝的アルゴリズムによる制約付き最適化", 第62回情報処理学会全国大会講演論文集, Vol.2, pp.111-112 (2001.3)
  15. 高濱徹行, 阪井節子: "低精度近似モデルを導入したDifferential Evolutionとε制約法による効率的制約付き最適化", 進化計算シンポジウム2008 (登別), pp.17-22 (2008.12)
  16. 高濱徹行, 阪井節子: "競合ヘブ則によるグラフ生成に基づく種分化型Differential Evolution の提案", 第22回インテリジェント・システム・シンポジウム講演論文集(FAN2012,浦添), CD-ROM (2012.8)
  17. 高濱徹行: "Differential Evolution とその周辺", 2013 IEEE SMC Hiroshima Chapter 若手研究会講演論文集, pp.1-8 (2013.7)
  18. 高濱徹行, 阪井節子: "進化的アルゴリズムにおける関数形状の概形推定", 第3回コンピューテーショナル・インテリジェンス研究会講演論文集(CI2013,大阪), pp.25-31 (2013.8)
  19. 高濱徹行, 阪井節子: "差分進化における個体のグループ化とグループ別パラメータ制御の効果", 第10回コンピューテーショナル・インテリジェンス研究会講演論文集(CI2016,富山), pp.17-24 (2016.12)
  20. 高濱徹行, 阪井節子: "斜交座標系に基づく回転不変なブレンド交叉の提案", 情報処理学会 第113回数理モデル化と問題解決研究会(恩納), Vol.2017-MPS-113, No.29, pp.1-6 (2017.6)
  21. 高濱徹行, 阪井節子: "差分進化における相関係数に基づく遺伝子のグループ化とグループ単位の交叉の提案", 情報処理学会研究報告「第120回数理モデル化と問題解決研究発表会」(小樽), Vol.2018-MPS-120, No.8, pp.1-6 (2018.9)
  22. 阪井節子, 高濱徹行 : "対話型差分進化における一対比較に基づく鏡映点の利用",日本オペレーションズ・リサーチ学会 2019年春季研究発表会アブストラクト集, pp.92-93 (2019.3)
  23. 高濱徹行, 阪井節子: "失敗情報を利用する適応的差分進化アルゴリズム", 第30回ソフトサイエンス・ワークショップ講演論文集(新型コロナウィルスのためオンラインで発表), pp.46-49 (2020.3)

その他(研究)

  1. 太田牧子, 阪井節子, 高濱徹行: "初等算数問題における文章題の自動生成", 福井大学情報処理センター NETWORK, Vol.9, No.1, pp.57-66 (1995.6)
  2. 窪田恵子, 高濱徹行, 阪井節子: "遺伝的アルゴリズムによるファジィ制御規則の獲得", 福井大学情報処理センター NETWORK, Vol.9, No.2, pp.19-28 (1995.9)
  3. 師 田 , 高濱徹行, 阪井節子: "分解結合型遺伝的アルゴリズムとその応用", 福井大学情報処理センター NETWORK, Vol.9, No.2, pp.29-38 (1995.9)
  4. 飯塚由紀子, 佐藤直子, 高濱徹行, 阪井節子: "算数文章題の言語解析", 福井大学情報処理センター NETWORK, Vol.9, No.2, pp.39-48 (1995.9)
  5. 中出雅子, 阪井節子, 高濱徹行: "グラフィカルユーザインタフェース構築支援システムXTSSの改良", 福井大学情報処理センター NETWORK, Vol.9, No.3, pp.17-26 (1995.12)
  6. 酒井香, 高濱徹行, 阪井節子: "例題学習によるファジィ制御規則の獲得", 福井大学情報処理センター NETWORK, Vol.9, No.4, pp.33-42 (1996.3)
  7. 佐藤智子, 阪井節子, 高濱徹行: "インターネットを利用した初等算数文章題のためのCAIシステムの構築", 福井大学情報処理センター NETWORK, Vol.10, No.2, pp.33-42 (1996.9)
  8. 潮田展子, 高濱徹行, 阪井節子: "遺伝的アルゴリズムによる倒立振子ファジィスケーリング制御の最適化", 福井大学情報処理センター NETWORK, Vol.10, No.2, pp.43-52 (1996.9)
  9. 宮本剛伸, 高濱徹行, 阪井節子:"文章生成規則を用いた初等算数文章題作成支援システム", 福井大学情報処理センター NETWORK, Vol.10, No.3, pp.51-60 (1996.12)
  10. 渡辺和美, 高濱徹行, 阪井節子: "X Window におけるウィンドウの共有化", 福井大学情報処理センター NETWORK, Vol.10, No.4, pp.39-48 (1997.2)
  11. 高濱徹行: "地質情報データベースの作成と公開(その2)", 福井大学情報処理センター NETWORK, Vol.11, No.1&2, pp.28-36 (1997.9)
  12. 北川敦子, 高濱徹行, 阪井節子: "算数文章題CAIシステムにおける文章題の可視化", 福井大学情報処理センター NETWORK, Vol.11, No.1&2, pp.55-64 (1997.9)
  13. 山本美佳, 高濱徹行, 阪井節子: "非線形システムの最適化手法を用いたファジィ制御規則の学習", 福井大学情報処理センター NETWORK, Vol.11, No.3&4, pp.3-12 (1998.1)
  14. 中西憲一郎, 高濱徹行, 阪井節子: "非線形最適化手法にニューラルネットワークを応用したファジィ制御の最適化", 福井大学情報処理センター NETWORK, Vol.11, No.3&4, pp.13-22 (1998.1)
  15. 野路浩一郎, 阪井節子, 高濱徹行: "アンケート集計用グループウェアアプリケーションの構築", 福井大学情報処理センター NETWORK, Vol.11, No.3&4, pp.23-32 (1998.1)
  16. 黒田成和, 高濱徹行, 阪井節子: "算数文章題生成機能を有するCAIシステム", 福井大学情報処理センター NETWORK, Vol.11, No.3&4, pp.23-42 (1998.1)
  17. 斉藤泰子,阪井節子,高濱徹行: "距離型メンバーシップ関数を持つファジィ推論規則の最適化", 福井大学情報処理センター NETWORK, Vol.12, No.1, pp.97-106 (1998.7)
  18. 橋本純子,阪井節子,高濱徹行: "Javaによるグループウェア環境の構築", 福井大学情報処理センター NETWORK, Vol.12, No.4, pp.100-109 (1999.3)
  19. 岩崎由希子,阪井節子,高濱徹行: "インデックス型遺伝的アルゴリズムの提案", 福井大学情報処理センター NETWORK, Vol.12, No.4, pp.110-119 (1999.3)

その他(解説等)

  1. 高濱徹行: "情報処理センター初心者講習会テキスト「UNIX入門」", 福井大学情報処理センター NETWORK, Vol.8, No.4, pp.83-98 (1995.3)
  2. 高濱徹行, 酒井信治: "FINES利用講習会テキスト「サブネット化」", 福井大学情報処理センター NETWORK, Vol.8, No.4, pp.99-109 (1995.3)
  3. 高濱徹行: "新キャンパス情報ネットワークの概要", 福井大学情報処理センター NETWORK, Vol.10, No.3, pp.30-39 (1996.12)
  4. 高濱徹行: "ワークステーション上のアプリケーションの利用方法", 福井大学情報処理センター NETWORK, Vol.11, No.1&2, pp.3-20 (1997.9)
  5. 高濱徹行: "情報の洪水と図書館", 福井大学附属図書館報かりん, No.29, pp.6-8 (1998.3)