Setsuko SAKAI:"A Model for real poker with an upper bound of assets", JOTA,
Vol.50, No.1, pp.149-163(1986)
Setsuko SAKAI: "A simplified two-person poker with a noisy communication
channel between players", Journal of Information & Optimization Sciences,
Vol.8, No.2, pp.141-153(1987)
Setsuko SAKAI:"Information Structures and Optimal Behaviors in Poker", 学位論文, 大阪大学(1987.4)
Hiroaki Kuwano, Setsuko SAKAI, Shigeru KUSHIMOTO:"The possibility
distribution of α-optimal Z(α) in fuzzy linear programing problem",
Math. Japonica, Vol.39, No.1, pp.137-145(1994)
T.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)
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)
T.Takahama and S.Sakai: "Constrained Optimization by α Constrained Genetic Algorithm (αGA)", Systems and Computers in Japan, Vol.35, No.5, pp.11-22 (2004.5)
T.Takahama and S.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)
T.Takahama and S.Sakai: "Constrained Optimization by Applying the alpha Constrained Method to the Nonlinear Simplex Method with Mutations", IEEE Transactions on Evolutionary Computation, Vol.9, No.5, pp.437- 451 (2005.10)
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)
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)
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
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) DOISharedIt
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 Robbotics, Vol.23, No.4, pp.618-627 (2018.12) DOI
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
著書
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
S.Sakai and T.Takahama:
"A Comparative Study on Graph-Based Speciation Mothods 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)
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)
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, pp.101-121 (2015.3)
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)
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)
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)
S.Sakai and T.Takahama:
"A Study on an Equivalent Penalty Coeffcient Value for Adaptive Control of the Penalty Coeffcient in Constrained Optimization by Differential Evolution", in A.Kadoya and K.Morioka (eds.) Recent Studies in Economic Sciences, Kyushu University Press, pp.65-87 (2019.2)
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)
S.Sakai and T.Takahama:
"Graph-Based Speciation Using Beta-Relaxed Relative Neighborhood Graph for Multimodal Optimization by Differential Evolution", in J.Maeda, K.Okamura and H.Dekihara (eds.) New Approches for Operations Research and Applied Economic, Kyushu University Press, pp.15-40 (2021.2)
S.Sakai and T.Takahama:
"A Study on Multi-Armed Bandit Algorithms for Dynamic Selection of Parameters and Topologies in Particle Swarm Optimization", in J.Maeda, K.Okamura and H.Dekihara (eds.) Operations Researche and Information Systems, Kyushu University Press, pp.21-48 (2022.2)
S.Sakai and T.Takahama:
"A Study on Converging and Moving Detection Using Distance Between the Center and the Best Solution for Particle Swarm Optimization", in K.Ota, J.Maeda and A.Nushimoto (eds.) Economic History, Flow of Funds, Information Systems and Operations Research, Kyushu University Press, pp.69-89 (2023.2)
査読付き国際会議論文
T.Takahama, 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)
S.Sakai, T.Takahama: "Learning fuzzy control rules by α constrained Simplex method", The 4th Asian/Pacific International
Symposium on Instrumentation, Measurement & Automatic Control (IMC'99), pp.240-246 (1999.8)
T.Takahama, S.Sakai: "Learning Fuzzy Control Rules by α Constrained Powell's Method", 1999 IEEE International Fuzzy
Systems Conference Proceedings, Vol.2, pp.650-655 (1999.8)
T.Takahama, 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)
T.Takahama, 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)
T.Takahama, S.Sakai: "Team Model and Taught-by-the-best Operation", Proc. of the Congress on Evolutionary Computation 2001 (CEC2001), Vol.2, pp.1093-1100 (2001.5)
S.Sakai, 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), Vol.5, pp.2541-2546 (2001.7)
T.Takahama, 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)
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)
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)
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)
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)
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, pp.2581-2586 (2003.10)
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)
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)
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)
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)
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
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
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
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
Tetsuyuki Takahama, Setsuko Sakai: "Reducing Function Evaluations in Differential Evolution using Rough Approximation-Based Comparison", Proc. of 2008 IEEE Congress on Evolutionary Computation (CEC2008, Hong Kong) (2008.6)
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)
Tetsuyuki Takahama, Setsuko Sakai, Akita 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)
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)
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
DOI
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)
DOI
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)
DOI
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)
DOI
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)
DOI
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)
DOI
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)
DOI
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)
DOI
Tetsuyuki Takahama and Setsuko Sakai: "Differential Evolution with Graph-Based Speciation by Competitive Hebbian Rules", Proc. of 2012 Sixth International Conference on Genetic and Evolutionary Computing (ICGEC2012, Kitakyushu, Japan), pp.445-448 (2012,8)
DOI
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) DOI
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)
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)
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)
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)
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)
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)
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)
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) DOI
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)
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)
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)
Tetsuyuki Takahama and Setsuko Sakai:
"Grouping of Genes According to Correlation Coeffcients and Grouping-Based Crossover for Adaptive Differential Evolution", Extended Abstract of The 50th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'18, Kyoto), pp.115-116 (2018.11)
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)
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 fileDOI
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
Tetsuyuki Takahama and Setsuko Sakai:
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
Tetsuyuki Takahama and Setsuko Sakai:
"Converging and Moving Detection Using an Outward Vector Rate for Adaptive Differential Evolution", Proc. of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS2022, online) (2022.11) PDF file
紀要論文
Toshio YAGI, Teruhiko UEMUKAI, Takeshi MASUI, Hiroyuki Kurokuzu, Kihachiro
TSUDO, Setsuko SAKAI, Yoshinori KAJIKI, Tatsushi YAMAMOTO, Yasuhiro NASU:
"A study on computer system for information processing education in
universities", 甲子園大学紀要, Vol14(B), pp.1-9(1986)
Minoru SAKAGUCHI, Setsuko SAKAI:"Solutions of some three-person stud and draw poker", Working Paper(Research Institute for Information System Nagoya University of Commerce and Business Administration), NO.IS92-04(1992)