publicatinons

Publications

Year 2022

Journal Papers

T.Takahama and S.Sakai: "Multimodal Optimization by Particle Swarm Optimization with Graph-Based Speciation Using Beta-Relaxed Relative Neighborhood Graph and Seed-Centered Mutation", Artificial Life and Robotics, published online (2022.1)
DOI, SharedIt, Draft PDF file

Year 2021

Journal Papers

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
Book Chapters
S.Sakai and T.Takahama: "Graph-Based Speciation Using ƒÀ-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)

Conference Proceedings
Tetsuyuki Takahama and Setsuko Sakai: "Multimodal Optimization by Particle Swarm Optimization with Graph-Based Speciation Using ƒÀ-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
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)
PDF file DOI

Year 2020

Journal Papers

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

Book Chapters
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)
Conference Proceedings
T.Takahama and S.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), pp.262-268 (2020.12)
Draft PDF file

Year 2019

Book Chapters

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)
Conference Proceedings
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
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)
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

Year 2018

Journal Papers

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
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
Book Chapters
"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)
Conference Proceedings
Akira Hara, Jun-ichi Kushida, Ryota Takemoto and Tetsuyuki Takahama: gArtificial Bee Colony Programming Using Semantic Control Crossoverh, 2018 IEEE International Conference on Systems, Man, and Cybernetics, pp.189-194, (2018.10)
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)
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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)
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Year 2017

Journal Papers

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
Book Chapters
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)
Conference Proceedings
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
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
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)
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)

Year 2016

Journal Papers

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
Book Chapters
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)
Conference Proceedings
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
Akira Hara, Jun-ichi Kushida, and Tetsuyuki Takahama: "Deterministic Geometric Semantic Genetic Programming with Optimal Mate Selectionh, Proc. of the 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC2016), pp.3387-3392 (2016.10)
DOI

Year 2015

Book Chapters

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)
Conference Proceedings
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)
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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)

Year 2014

Book Chapters

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)
Conference Proceedings
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
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
Akira Hara, Jun-ichi Kushida, Takeyuki Nobuta and Tetsuyuki Takahama: "Rank-based Semantic Control Crossover in Genetic Programming", Proc. of 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC2014), pp.515-520 (2014.10)
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

Year 2013

Book Chapters

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)
Conference Proceedings
Tetsuyuki Takahama and Setsuko Sakai: "Efficient Constrained Optimization by the ¦Å 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
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)

Year 2012

Book Chapters

Setsuko Sakai and Tetsuyuki 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)
Conference Proceedings
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)
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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)
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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
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
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)
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)

Year 2011

Journal Papers

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)
Book Chapters
Setsuko Sakai and Tetsuyuki 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)
Conference Proceedings
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
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)
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Year 2010

Book Chapters

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)
Conference Proceedings
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), pp.1680-1688 (2010.7)
PDF file PPT file
Prize: IEEE Computational Intelligence Society, 2010 Congress on Evolutionary Computation Competition on Real-Parameter Optimizaton
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), pp.2052-2059 (2010.7)
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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)
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

Year 2009

Journal Papers

Tetsuyuki Takahama and Setsuko Sakai: Efficient Constrained Optimization by the epsilon Constrained Differential Evolution Using an Approximation Model with Low Accuracy", Transactions of the Japanese Society for Artificial Intelligence, Vol.24, No.1, pp.34-45 (2009.1) (In Japanese)
Tetsuyuki Takahama and Setsuko Sakai: "Fast and Stable Constrained Optimization by the epsilon Constrained Differential Evolution", Pacific Journal of Optimization, Vol. 5, No. 2, pp.261-282 (2009.5)
Miyuki Shibasaka, Akira Hara, Takumi Ichimura and Tetsuyuki Takahama: "Species-Based Differential Evolution for Multimodal Function Optimization", Transactions of the Institute of Electronics, Information and Communication Engineers, Vol.J92-D, No.7, 1003-1014 (2009.7) (In Japanese)
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)
Book Chapters
T.Takahama and S.Sakai: "Solving Difficult Constrained Optimization Problems by the epsilon Constrained Differential Evolution with Gradient-Based Mutation", in E.Mezura-Montes (ed.) Constraint-Handling in Evolutionary Optimization, Springer-Verlag, pp.51-72 (2009.4)
Conference Proceedings
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)
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Year 2008

Journal Papers

Tetsuyuki Takahama, Setsuko Sakai, and Akira Hara: "Reducing the Number of Function Evaluations in Differential Evolution by Estimated Comparison Method using an Approximation Model with Low Accuracy", The Transactions of the Institute of Electronics, Information and Communication Engineers, Vol.J91-D, No.5, pp.1275-1285 (2008.5) (In Japanese)
Abstract
Book Chapters
T.Takahama and S.Sakai: "Constrained Optimization by the epsilon Constrained Differential Evolution with Dynamic epsilon-level Control", in U. Chakraborty (ed.) Advances in Differential Evolution, Springer-Verlag, (2008)
Conference Proceedings
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), pp.2307-2314 (2008.6)
PDF file
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), pp.1238-1243 (2008.9)
Abstract
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), pp.1412-1417 (2008.9)

Year 2007

Book Chapters

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)
Conference Proceedings
Tetsuyuki Takahama, Setsuko Sakai, Member, 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.3434-3411 (2007.9)
Abstract PDF file
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)

Year 2006

Journal Papers

T.Takahama, S.Sakai: "Constrained Optimization by the epsilon Constrained Genetic Algorithm", IPSJ Journal, Vol.47, No.6, pp.1861-1871 (2006.6)
Abstract
Conference Proceedings
T.Takahama and S.Sakai: "Solving Constrained Optimization Problems by the epsilon 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)
Abstract PDF file
T.Takahama and S.Sakai: "Constrained Optimization by the epsilon 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)
Abstract PDF file
Prize: 2006 IEEE Congress on Evolutionary Computation Competition Program Award -- Nonlinear Programming
A.Hara, T.Ichimura, N.Fujita and T.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)
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 (SMC2006, Taipei, Taiwan), pp.1172-1177 (2006.10)
T.Takahama, S.Sakai and Noriyuki Iwane: "Solving Nonlinear Constrained Optimization Problems by the epsilon Constrained Differential Evolution", Proc. of 2006 IEEE Conference on Systems, Man, and Cybernetics (SMC2006, Taipei, Taiwan), pp.2322-2327 (2006.10)
Abstract PDF file

Year 2005

Journal Papers

T.Takahama and S.Sakai: "Constrained Optimization by the alpha Constrained Particle Swarm Optimizer", Journal of Advanced Computational Intelligence & Intelligent Informatics, Vol.9, No.3, pp.282-289 (2005.5)
Abstract
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)
Abstract PDF file
Book Chapters
S.Sakai and T.Takahama: "Constrained Optimization by alpha Constrained Genetic Algorithm with Simplex Crossover", In T.Tokimasa, S.Hiraki, N.Kaio and Y.Yanagida (eds.) Applied Economic Informatics and Systems Sciences, Kyushu University Press, pp.173-208 (2005)
Abstract
Conference Proceedings
T.Takahama and S.Sakai: "Constrained Optimization by epsilon Constrained Particle Swarm Optimizer with epsilon-level Control", Proc. of the Fourth IEEE International Workshop on Soft Computing as Transdisciplinary Science and Technology (WSTST05, Muroran, Japan), pp.1019-1029 (2005.5)
Abstract
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)
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)
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)
Tetsuyuki Takahama, Setsuko Sakai and Noriyuki Iwane: "Constrained Optimization by the epsilon 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)
Abstract

Year 2004

Journal Papers

Tetsuyuki Takahama, Setsuko Sakai and Yoshinori Isomichi: "A Study on Adaptive Control of Degeneration Speed in Structural Learning of Fuzzy Rules by Genetic Algorithms with Degeneration GAd", Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, Vol.16, No.1, pp.33-43 (2004.2) (In Japanese)
Abstract
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)
Abstract
T.Takahama and S.Sakai: "Constrained Optimization by alpha Constrained Genetic Algorithm (alphaGA)", Systems and Computers in Japan, Vol.35, No.5, pp.11-22 (2004.5)
Abstract
Book Chapters
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)
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)
Abstract
Conference Proceedings
T.Takahama and S.Sakai: "Constrained Optimization by Combining the alpha 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)
Abstract PDF file (97KB)
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)
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, Netherlands), pp.3507-3512 (2004.10)
Abstract

Year 2003

Journal Papers

Tetsuyuki Takahama, Setsuko Sakai, Takumi Ichimura and Yoshinori Isomichi: "Structural Optimization by Genetic Algorithm with Degeneration (GAd)", The Transactions of the Institute of Electronics, Information and Communication Engineers, Vol.J86-D-I, No.3, pp.140-149 (2003.3) (In Japanese)
Abstract
Tetsuyuki Takahama and Setsuko Sakai: "Constrained optimization by alpha constrained genetic algorithm (alphaGA)", The Transactions of the Institute of Electronics, Information and Communication Engineers, Vol.J86-D-I, No.4, pp.198-207 (2003.4) (In Japanese)
Abstract
Tetsuyuki Takahama and Setsuko Sakai: "Learning Fuzzy Control Rules by alpha-constrained Simplex Method", Systems and Computers in Japan, Vol.34, No.6, pp.80-90 (2003.6)
Abstract
Conference Proceedings
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)
Abstract
Y. Isomichi and T. Takahama: "New Pricing Systems for Electronic Commercial Transaction and Electronic Tender", International Applied Business Research Conference (Acapulco, Mexico) (2003.3)
T.Ichimrua, A.Hara, T.Takahama, Y.Isomichi, and R.Utunomiya: "Multi-Objective Decision Making by AHP and its Application to Personal Preferen ce Retrieval System", Proc. of the 7th International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES2003), Vol.II, pp.474-480 (2003.9)
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)
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)
Abstract

Year 2002

Journal Papers

Shinichi Oeda, Takumi Ichimura, Mutsuhiro Terauchi, Tetsuyuki Takahama and Yoshinori Isomichi: "A Synthesis of Structural Adaptive Learning Algorithm in Neural Network Based on the Theory of Evolution", IPSJ Journal, Vol.43, No.8, pp.2728-2738 (2002.8) (In Japanese)
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)
Book Chapters
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)
Conference Proceedings
Tetsuyuki Takahama and Setsuko 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 (ICON IP'02, Singapore), Vol.3, pp.1211-1215 (2002.11)

Year 2001

Journal Papers

Tetsuyuki Takahama, Setsuko Sakai and Yoshinori Isomichi: "MGGA: Genetic Algorithm with Mutant Genes", The Transactions of the Institute of Electronics, Information and Communication Engineers, J84-D-I, No.9, pp.1297-1306 (2001.9) (In Japanese)
Tetsuyuki Takahama and Setsuko Sakai: "Interactive Learning of Multiobjective Fuzzy Control Rules by Multiobjective Nonlinear Optimization Method "Vector Simplex"", IPSJ Journal, Vol.42, No.11, pp.2607-2617 (2001.11) (In Japanese)
Conference Proceedings
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)
Y.Isomichi and T.Takahama: "Electronic Tendering System -- A New Pricing System --", Proc. of First International Workshop on Agent-based Approches in Economics and Social Complex Systems, pp.163-168 (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)
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)
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.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)
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 pr actice 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)

Year 2000

Journal Papers

Tetsuyuki Takahama, Setsuko Sakai and Yoshinori Isomichi: "Team Model which Solves Optimization Problems based on Teaching by Teams", The Transactions of the Institute of Electronics, Information and Communication Engineers, J83-D-I, No.1, pp.143-152 (2000.1) (In Japanese)
Tetsuyuki Takahama and Setsuko Sakai: "Tuning Fuzzy Control Rules by the Alpha 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)
Tetsuyuki Takahama and Setsuko Sakai: "Learning Fuzzy Control Rules by Alpha Constrained Simplex Method", The Transactions of the Institute of Electronics, Information and Communication Engineers, J83-D-I, No.7, pp.770-779 (2000.7) (In Japanese)
Abstract
Tetsuyuki Takahama, Setsuko Sakai, Takumi Ichimura and Yoshinori Isomichi: "Learning Fuzzy Inference Rules with Shape Parameters", The Transactions of the Institute of Electronics, Information and Communication Engineers, J83-D-I, No.9, pp.1025-1029 (2000.9) (In Japanese)
Conference Proceedings
S.Oeda,T.Ichimura,M.Terauchi,T.Takahama,Y.Isomichi: "Adaptive Evolutional Me thod 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)
T.Takahama, S.Sakai: "Multiobjective Nonlinear Optimization Method ``Vector Simplex''", In Parametric Optimization and Related Topics V (J.Guddat, R.Hirab ayashi, 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)

Year 1999

Journal Papers

Tetsuyuki Takahama and Setsuko Sakai: "Tuning fuzzy control rules by alpha constrained method which solves constrained nonlinear optimization problems", The Transactions of the Institute of Electronics, Information and Communication Engineers, Vol.J82-A, No.5, pp.658-668 (1999.5) (In Japanese)
Conference Proceedings
S.Sakai, T.Takahama: "Learning fuzzy control rules by Alpha constrained Simplex method", Proc. of 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 Alpha Constrained Powell's Method", Proc. of 1999 IEEE International Fuzzy Systems Conference, 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)

Year from 1992 to 1998

Journal Papers

Tetsuyuki Takahama and Setsuko Sakai: "Learning Rules for Fuzzy Scaling Control by Genetic Algorithms", The Transactions of the Institute of Electronics, Information and Communication Engineers, Vol.J81-D-II, No.1, pp.119-126 (1998.1) (In Japanese)
Tetsuyuki Takahama,Tomi Makino and Setsuko Sakai: "A Method of Separating the Graphical User Interface in CAI System", Transactions of Japanese Society for Information and Systems in Education, Vol.13, No.4, pp. 199-212 (1997.1) (In Japanese)
Tetsuyuki Takahama, Setsuko Sakai, Hisakazu Ogura and Masao Nakamura: "Learning Fuzzy Rules for Bang-Bang Control by Reinforcement Learning Method", Journal of Japan Society for Fuzzy Theory and Systems, Vol.8, No.1, pp.115-122 (1996.2) (In Japanese)
Romuzi Muchamad, Tetsuyuku Takahama, Tomohiro Odaka, Hisakazu Ogura: "A Study of Knowledge Representation of Fuzzy Control for Inverted Pendulum System by Applying Adaptive Control with Range Scaling Method", Journal of Japan Society for Fuzzy Theory and Systems, Vol.8, No.3, pp.576-585 (1996.6) (In Japanese)
Hisakazu Ogura, Yuji Uomi, Tetsuyuki Takahama and Tomohiro Odaka: "Knowledge Representation Schema in an Interactive CAI System for Junior English Course", Journal of Japan Society for CAI, Vol.11, No.1, pp. 3-13 (1994.4) (In Japanese)
T.Odaka, T.Takahama, H.Wagatsuma, K.Shimada and H.Ogura: "A Visual Data Analysis System for the Medical Image Processing", Journal of MEDICAL SYSTEMS, Vol.18, No.3, pp.167-173 (1994.6)
Tetsuyuki Takahama, Hisakazu Ogura and Masao Nakamura: "XTSS: Graphical User Interface System for Integrating Text Based Applications on X Window", The Transactions of the Institute of Electronics, Information and Communication Engineers, Vol.J77-D-I, No.7, p.493-502 (1994.7) (In Japanese)
Tetsuyuki Takahama, Youichi Nakaya, Hisakazu Ogura and Masao Nakamura: "User Interface System for Application Integration on X Window (UAI/X)", The Transactions of the Institute of Electronics, Information and Communication Engineers, Vol.J75-D-I, No.7, pp.479-487 (1992.7) (In Japanese)
Conference Proceedings
T.Takahama, S.Sakai: "Learning Fuzzy Rules for Bang-Bang Control by Reinforcement Learning Method", Proc. of 1996 International Fuzzy Systems and Intelligent Controls Conference, pp.193-202 (1996.4)