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Tetsuyuki Takahama
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2020 – today
- 2022
- [j15]Tetsuyuki Takahama, Setsuko Sakai:
Multimodal optimization by particle swarm optimization with graph-based speciation using β-relaxed relative neighborhood graph and seed-centered mutation. Artif. Life Robotics 27(2): 236-247 (2022) - [c72]Tetsuyuki Takahama, Setsuko Sakai:
Converging and Moving Detection Using an Outward Vector Rate for Adaptive Differential Evolution. SCIS/ISIS 2022: 1-8 - 2021
- [j14]Takeshi Kawachi, Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama:
Efficient parameter-free adaptive penalty method with balancing the objective function value and the constraint violation. Int. J. Comput. Intell. Stud. 10(2/3): 127-160 (2021) - [c71]Tetsuyuki Takahama, Setsuko Sakai:
An Adaptive Differential Evolution Algorithm Utilizing Failure Information and Success Information. CEC 2021: 17-24 - [c70]Akira Hara, Jun-ichi Kushida, Ryohei Yasuda, Tetsuyuki Takahama:
Efficient Data Presentation Method for Building User Preference Model Using Interactive Evolutionary Computation. KES-IDT 2021: 583-593 - 2020
- [j13]Tetsuyuki Takahama, Setsuko Sakai:
Constrained optimization by improved particle swarm optimization with the equivalent penalty coefficient method. Artif. Life Robotics 25(4): 612-623 (2020) - [c69]Tetsuyuki Takahama, Setsuko Sakai:
Adaptive Directional Mutation for an Adaptive Differential Evolution Algorithm. SCIS/ISIS 2020: 1-7 - [c68]Akira Hara, Jun-ichi Kushida, Tetsuyuki Takahama:
Maintaining Population Diversity in Deterministic Geometric Semantic Genetic Programming by ϵ-Lexicase Selection. SMC 2020: 205-210
2010 – 2019
- 2019
- [c67]Takeshi Kawachi, Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama:
Efficient Constraint Handling based on the Adaptive Penalty Method with Balancing the Objective Function Value and the Constraint Violation. IWCIA 2019: 121-128 - [c66]Tetsuyuki Takahama, Setsuko Sakai:
An Equivalent Penalty Coefficient Method: An Adaptive Penalty Approach for Population-Based Constrained Optimization. CEC 2019: 1620-1627 - [c65]Takeshi Kawachi, Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama:
L-SHADE with an adaptive penalty method of balancing the objective value and the constraint violation. GECCO (Companion) 2019: 5-6 - [c64]Akira Hara, Jun-ichi Kushida, Tetsuyuki Takahama:
Time Series Prediction Using Deterministic Geometric Semantic Genetic Programming. SMC 2019: 1945-1949 - 2018
- [j12]Tetsuyuki Takahama, Setsuko Sakai:
The velocity updating rule according to an oblique coordinate system with mutation and dynamic scaling for particle swarm optimization. Artif. Life Robotics 23(4): 618-627 (2018) - [c63]Tetsuyuki Takahama, Setsuko Sakai:
A New Binomial Crossover Considering Correlation Among Decision Variables for Adaptive Differential Evolution. SCIS&ISIS 2018: 467-473 - [c62]Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama:
Cartesian Genetic Programming with Module Mutation for Symbolic Regression. SMC 2018: 159-164 - [c61]Akira Hara, Jun-ichi Kushida, Ryota Takemoto, Tetsuyuki Takahama:
Artificial Bee Colony Programming Using Semantic Control Crossover. SMC 2018: 189-194 - 2017
- [j11]Toshiki Nishio, Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama:
Particle swarm optimisation with dynamic search strategies based on rank correlation. Int. J. Comput. Intell. Stud. 6(4): 311-332 (2017) - [c60]Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama, Naoya Mimura:
Cartesian ant programming introducing symbiotic relationship between ants and aphids. IWCIA 2017: 115-120 - [c59]Akira Hara, Jun-ichi Kushida, Takamichi Yamagata, Tetsuyuki Takahama:
The influence of generation alternation model on search performance in deterministic geometric semantic genetic programming. SMC 2017: 588-593 - [c58]Tetsuyuki Takahama, Setsuko Sakai:
An Adaptive Differential Evolution with Learning Parameters According to Groups Defined by the Rank of Objective Values. ICSI (1) 2017: 411-419 - 2016
- [j10]Tetsuyuki Takahama, Setsuko Sakai, Jun-ichi Kushida, Akira Hara:
Particle swarm optimization with mutation operations controlled by landscape modality estimation using hill-valley detection. Artif. Life Robotics 21(4): 423-433 (2016) - [j9]Tetsuyuki Takahama, Setsuko Sakai:
Improving an adaptive differential evolution using hill-valley detection. Int. J. Hybrid Intell. Syst. 13(1): 1-13 (2016) - [c57]Akira Hara, Hiroki Konishi, Jun-ichi Kushida, Tetsuyuki Takahama:
Efficiency improvement of imitation operator in multi-agent control model based on Cartesian Genetic Programming. IWCIA 2016: 69-74 - [c56]Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama, Shogo Nagura:
Cartesian ant programming with transition rule considering internode distance. IWCIA 2016: 101-105 - [c55]Toshiki Nishio, Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama:
Particle swarm optimization with dynamic search strategies based on landscape modality estimation. IWCIA 2016: 113-118 - [c54]Tetsuyuki Takahama, Setsuko Sakai:
An adaptive differential evolution with adaptive archive selection and hill-valley detection. CEC 2016: 48-55 - [c53]Akira Hara, Jun-ichi Kushida, Ryo Tanemura, Tetsuyuki Takahama:
Deterministic Crossover Based on Target Semantics in Geometric Semantic Genetic Programming. IIAI-AAI 2016: 197-202 - [c52]Akira Hara, Jun-ichi Kushida, Tetsuyuki Takahama:
Deterministic Geometric Semantic Genetic Programming with Optimal Mate Selection. SMC 2016: 3387-3392 - 2015
- [c51]Akira Hara, Jun-ichi Kushida, Tomoya Okita, Tetsuyuki Takahama:
Behavior control of multiple agents by Cartesian Genetic Programming equipped with sharing sub-programs among agents. IWCIA 2015: 71-76 - [c50]Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama:
Cartesian Ant Programming with node release mechanism. IWCIA 2015: 83-88 - [c49]Toshiki Nishio, Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama:
Adaptive particle swarm optimization with multi-dimensional mutation. IWCIA 2015: 131-136 - [c48]Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama:
Rank-based differential evolution with multiple mutation strategies for large scale global optimization. CEC 2015: 353-360 - [c47]Tetsuyuki Takahama, Setsuko Sakai:
Emerging collective intelligence in Othello players evolved by differential evolution. CIG 2015: 214-221 - [c46]Akira Hara, Jun-ichi Kushida, Kei Kisaka, Tetsuyuki Takahama:
Geometric Semantic Genetic Programming Using External Division of Parents. IIAI-AAI 2015: 189-194 - [c45]Akira Hara, Takuya Mototsuka, Jun-ichi Kushida, Tetsuyuki Takahama:
Genetic Programming Using the Best Individuals of Genealogies for Maintaining Population Diversity. SMC 2015: 2690-2696 - [c44]Tetsuyuki Takahama, Setsuko Sakai:
Improving an adaptive differential evolution using hill-valley detection. SoCPaR 2015: 284-289 - 2014
- [c43]Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama:
Enhanced interactive differential evolution using evolutionary level. SCIS&ISIS 2014: 62-65 - [c42]Tetsuyuki Takahama, Setsuko Sakai:
An adaptive differential evolution considering correlation of two algorithm parameters. SCIS&ISIS 2014: 618-623 - [c41]Akira Hara, Jun-ichi Kushida, Takeyuki Nobuta, Tetsuyuki Takahama:
Rank-based Semantic Control Crossover in Genetic Programming. SMC 2014: 501-506 - 2013
- [c40]Akira Hara, Jun-ichi Kushida, Souichi Tanabe, Tetsuyuki Takahama:
Parallel Ant Programming using genetic operators. IWCIA 2013: 75-80 - [c39]Takuya Mototsuka, Akira Hara, Jun-ichi Kushida, Tetsuyuki Takahama:
Genetic programming with multiple initial populations generated by simulated annealing. IWCIA 2013: 113-118 - [c38]Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama, Ayumi Kido:
Island-based differential evolution with varying subpopulation size. IWCIA 2013: 119-124 - [c37]Tetsuyuki Takahama, Setsuko Sakai:
Efficient constrained optimization by the ε constrained differential evolution with rough approximation using kernel regression. IEEE Congress on Evolutionary Computation 2013: 1334-1341 - [c36]Akira Hara, Jun-ichi Kushida, Koji Kitao, Tetsuyuki Takahama:
Neuroevolution by Particle Swarm Optimization with Adaptive Input Selection for Controlling Platform-Game Agent. SMC 2013: 2504-2509 - 2012
- [j8]Akira Hara, Haruko Tanaka, Takumi Ichimura, Tetsuyuki Takahama:
Knowledge acquisition from many-attribute data by genetic programming with clustered terminal symbols. Int. J. Knowl. Web Intell. 3(2): 180-201 (2012) - [c35]Tetsuyuki Takahama, Setsuko Sakai:
Large scale optimization by differential evolution with landscape modality detection and a diversity archive. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c34]Tetsuyuki Takahama, Setsuko Sakai:
Efficient Constrained Optimization by the ε Constrained Rank-Based Differential Evolution. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c33]Tetsuyuki Takahama, Setsuko Sakai:
Differential evolution with dynamic strategy and parameter selection by detecting landscape modality. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c32]Tetsuyuki Takahama, Setsuko Sakai:
Differential Evolution with Graph-Based Speciation by Competitive Hebbian Rules. ICGEC 2012: 445-448 - [c31]Jun-ichi Kushida, Kazuhisa Oba, Akira Hara, Tetsuyuki Takahama:
Solving quadratic assignment problems by differential evolution. SCIS&ISIS 2012: 639-644 - [c30]Akira Hara, Kazumasa Shiraga, Tetsuyuki Takahama:
Heterogeneous Particle Swarm Optimization including predator-prey relationship. SCIS&ISIS 2012: 1368-1373 - [c29]Akira Hara, Yoshimasa Ueno, Tetsuyuki Takahama:
New crossover operator based on semantic distance between subtrees in Genetic Programming. SMC 2012: 721-726 - 2011
- [j7]Takumi Ichimura, Hiroshi Inoue, Akira Hara, Tetsuyuki Takahama, Kenneth J. Mackin:
A Proposal of Memory and Prediction Based Genetic Algorithm Using Speciation in Dynamic Multimodal Function Optimization. J. Adv. Comput. Intell. Intell. Informatics 15(8): 1082-1094 (2011) - [c28]Tetsuyuki Takahama, Setsuko Sakai:
Efficient nonlinear optimization by differential evolution with a rotation-invariant local sampling operation. IEEE Congress on Evolutionary Computation 2011: 2215-2222 - [c27]Tetsuyuki Takahama, Setsuko Sakai:
Fuzzy c-means clustering and partition entropy for species-best strategy and search mode selection in nonlinear optimization by differential evolution. FUZZ-IEEE 2011: 290-297 - [c26]Akira Hara, Manabu Watanabe, Tetsuyuki Takahama:
Cartesian Ant Programming. SMC 2011: 3161-3166 - 2010
- [c25]Akira Hara, Syuhei Matsushima, Takumi Ichimura, Tetsuyuki Takahama:
Ant Colony Optimization using exploratory ants for constructing partial solutions. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c24]Tetsuyuki Takahama, Setsuko Sakai:
Constrained optimization by the epsilon constrained differential evolution with an archive and gradient-based mutation. IEEE Congress on Evolutionary Computation 2010: 1-9 - [c23]Tetsuyuki Takahama, Setsuko Sakai:
Efficient constrained optimization by the epsilon constrained adaptive differential evolution. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c22]Tetsuyuki Takahama, Setsuko Sakai:
Solving nonlinear optimization problems by Differential Evolution with a rotation-invariant crossover operation using Gram-Schmidt process. NaBIC 2010: 526-533
2000 – 2009
- 2009
- [c21]Tetsuyuki Takahama, Setsuko Sakai:
A comparative study on kernel smoothers in Differential Evolution with estimated comparison method for reducing function evaluations. IEEE Congress on Evolutionary Computation 2009: 1367-1374 - [c20]Takumi Ichimura, Azusa Yamasaki, Akira Hara, Tetsuyuki Takahama:
Human Communication Network Based on the Classification Results of Personal Preferences by Using Self-Organizing Map. SMC 2009: 418-423 - 2008
- [c19]Tetsuyuki Takahama, Setsuko Sakai:
Reducing function evaluations in Differential Evolution using rough approximation-based comparison. IEEE Congress on Evolutionary Computation 2008: 2307-2314 - 2007
- [c18]Miyuki Shibasaka, Akira Hara, Takumi Ichimura, Tetsuyuki Takahama:
Species-based differential evolution with switching search strategies for multimodal function optimization. IEEE Congress on Evolutionary Computation 2007: 1183-1190 - [c17]Tetsuyuki Takahama, Setsuko Sakai, Akira Hara, Noriyuki Iwane:
Structural learning of neural networks by differential evolution with degeneration using mappings. IEEE Congress on Evolutionary Computation 2007: 3434-3441 - 2006
- [c16]Tetsuyuki Takahama, Setsuko Sakai:
Constrained Optimization by the ε Constrained Differential Evolution with Gradient-Based Mutation and Feasible Elites. IEEE Congress on Evolutionary Computation 2006: 1-8 - [c15]Akira Hara, Takumi Ichimura, Nobuyuki Fujita, Tetsuyuki Takahama:
Effective Diversification of Ant-Based Search Using Colony Fission and Extinction. IEEE Congress on Evolutionary Computation 2006: 1028-1035 - [c14]Takumi Ichimura, Kazuya Sakaguchi, Akira Hara, Tetsuyuki Takahama:
A Proposal of Interactive Genetic Network Programming by Fuzzy Structural Modeling. SMC 2006: 1172-1177 - [c13]Tetsuyuki Takahama, Setsuko Sakai, Noriyuki Iwane:
Solving Nonlinear Constrained Optimization Problems by the ε Constrained Differential Evolution. SMC 2006: 2322-2327 - 2005
- [j6]Tetsuyuki Takahama, Setsuko Sakai:
Constrained Optimization by the alpha Constrained Particle Swarm Optimizer. J. Adv. Comput. Intell. Intell. Informatics 9(3): 282-289 (2005) - [j5]Tetsuyuki Takahama, Setsuko Sakai:
Constrained optimization by applying the α constrained method to the nonlinear simplex method with mutations. IEEE Trans. Evol. Comput. 9(5): 437-451 (2005) - [c12]Tetsuyuki Takahama, Setsuko Sakai, Noriyuki Iwane:
Constrained Optimization by the epsilon Constrained Hybrid Algorithm of Particle Swarm Optimization and Genetic Algorithm. Australian Conference on Artificial Intelligence 2005: 389-400 - [c11]Akira Hara, Takumi Ichimura, Tetsuyuki Takahama, Yoshinori Isomichi, Motoki Shigemi:
Effect of Direct Communication in Ant System. KES (1) 2005: 925-931 - [c10]Toshihiro Ikeda, Akira Hara, Takumi Ichimura, Tetsuyuki Takahama, Yuko Taniguchi, Hiroshige Yamada, Ryota Hakozaki, Haruo Sakuda:
Multi-agent Cluster System for Optimal Performance in Heterogeneous Computer Environments. KES (1) 2005: 932-937 - [c9]Akira Hara, Takumi Ichimura, Tetsuyuki Takahama, Yoshinori Isomichi:
Extraction of Risk Factors by Multi-agent Voting Model Using Automatically Defined Groups. KES (3) 2005: 1218-1224 - [c8]Tetsuyuki Takahama, Setsuko Sakai:
Constrained Optimization by epsilon Constrained Particle Swarm Optimizer with epsilon-level Control. WSTST 2005: 1019-1029 - 2004
- [j4]Tetsuyuki Takahama, Setsuko Sakai:
Constrained optimization by constrained genetic algorithm (alpha GA). Syst. Comput. Jpn. 35(5): 11-22 (2004) - [j3]Tetsuyuki Takahama, Setsuko Sakai, Takumi Ichimura, Yoshinori Isomichi:
Structural optimization by genetic algorithm with degeneration (GA d). Syst. Comput. Jpn. 35(5): 32-43 (2004) - [c7]Akira Hara, Takumi Ichimura, Tetsuyuki Takahama, Yoshinori Isomichi:
Extraction of Rules from Coronary Heart Disease Database Using Automatically Defined Groups. KES 2004: 1089-1096 - [c6]Tetsuyuki Takahama, Setsuko Sakai:
Structural learning of neural networks by coevolutionary genetic algorithm with degeneration. SMC (4) 2004: 3507-3512 - 2003
- [j2]Tetsuyuki Takahama, Setsuko Sakai:
Learning fuzzy control rules by alpha-constrained Simplex method. Syst. Comput. Jpn. 34(6): 80-90 (2003) - [c5]Takumi Ichimura, Akira Hara, Tetsuyuki Takahama, Yoshinori Isomichi, Rie Utsunomiya:
Multi-objective Decision Making by AHP and Its Application to Personal Preference Retrieval System. KES 2003: 474-480 - [c4]Akira Hara, Takumi Ichimura, Tetsuyuki Takahama, Yoshinori Isomichi:
Extraction of Rules by Heterogeneous Agents Using Automatically Defined Groups. KES 2003: 1405-1411 - [c3]Tetsuyuki Takahama, Setsuko Sakai, Noriyuki Iwane:
Structural learning of RBF-fuzzy rule bases based on information criteria and degeneration. SMC 2003: 2581-2586 - 2002
- [j1]Tetsuyuki Takahama, Setsuko Sakai, Yoshinori Isomichi:
MGGA: Genetic algorithm with mutant genes. Syst. Comput. Jpn. 33(14): 23-33 (2002) - 2001
- [c2]Tetsuyuki Takahama, Setsuko Sakai:
Team model and taught-by-the-best operation. CEC 2001: 1093-1100 - 2000
- [c1]Shinichi Oeda, Takumi Ichimura, Mutsuhiro Terauchi, Tetsuyuki Takahama, Yoshinori Isomichi:
Adaptive evolutional learning method of neural networks using genetic algorithms under dynamic environments. KES 2000: 742-745
Coauthor Index
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