Tetsuyuki Takahama

Publication Activity (10 Years)

Years Active: 2000-2022
Publications (10 Years): 36

Top Topics

Population Diversity

Rank Correlation

Neighborhood Graph

Differential Evolution

Top Venues

Artif. Life Robotics

Publications

Tetsuyuki Takahama, Setsuko Sakai
Converging and Moving Detection Using an Outward Vector Rate for Adaptive Differential Evolution. SCIS/ISIS (2022)
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) (2022)
Tetsuyuki Takahama, Setsuko Sakai
An Adaptive Differential Evolution Algorithm Utilizing Failure Information and Success Information. CEC (2021)
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)
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) (2021)
Tetsuyuki Takahama, Setsuko Sakai
Constrained optimization by improved particle swarm optimization with the equivalent penalty coefficient method. Artif. Life Robotics 25 (4) (2020)
Tetsuyuki Takahama, Setsuko Sakai
Adaptive Directional Mutation for an Adaptive Differential Evolution Algorithm. SCIS/ISIS (2020)
Akira Hara, Jun-ichi Kushida, Tetsuyuki Takahama
Maintaining Population Diversity in Deterministic Geometric Semantic Genetic Programming by ϵ-Lexicase Selection. SMC (2020)
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)
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)
Akira Hara, Jun-ichi Kushida, Tetsuyuki Takahama
Time Series Prediction Using Deterministic Geometric Semantic Genetic Programming. SMC (2019)
Tetsuyuki Takahama, Setsuko Sakai
An Equivalent Penalty Coefficient Method: An Adaptive Penalty Approach for Population-Based Constrained Optimization. CEC (2019)
Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama
Cartesian Genetic Programming with Module Mutation for Symbolic Regression. SMC (2018)
Akira Hara, Jun-ichi Kushida, Ryota Takemoto, Tetsuyuki Takahama
Artificial Bee Colony Programming Using Semantic Control Crossover. SMC (2018)
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) (2018)
Tetsuyuki Takahama, Setsuko Sakai
A New Binomial Crossover Considering Correlation Among Decision Variables for Adaptive Differential Evolution. SCIS&ISIS (2018)
Tetsuyuki Takahama, Setsuko Sakai
An Adaptive Differential Evolution with Learning Parameters According to Groups Defined by the Rank of Objective Values. ICSI (1) (2017)
Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama, Naoya Mimura
Cartesian ant programming introducing symbiotic relationship between ants and aphids. IWCIA (2017)
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) (2017)
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)
Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama, Shogo Nagura
Cartesian ant programming with transition rule considering internode distance. IWCIA (2016)
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) (2016)
Akira Hara, Jun-ichi Kushida, Ryo Tanemura, Tetsuyuki Takahama
Deterministic Crossover Based on Target Semantics in Geometric Semantic Genetic Programming. IIAI-AAI (2016)
Tetsuyuki Takahama, Setsuko Sakai
An adaptive differential evolution with adaptive archive selection and hill-valley detection. CEC (2016)
Tetsuyuki Takahama, Setsuko Sakai
Improving an adaptive differential evolution using hill-valley detection. Int. J. Hybrid Intell. Syst. 13 (1) (2016)
Akira Hara, Jun-ichi Kushida, Tetsuyuki Takahama
Deterministic Geometric Semantic Genetic Programming with Optimal Mate Selection. SMC (2016)
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)
Toshiki Nishio, Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama
Particle swarm optimization with dynamic search strategies based on landscape modality estimation. IWCIA (2016)
Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama
Rank-based differential evolution with multiple mutation strategies for large scale global optimization. CEC (2015)
Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama
Cartesian Ant Programming with node release mechanism. IWCIA (2015)
Tetsuyuki Takahama, Setsuko Sakai
Emerging collective intelligence in Othello players evolved by differential evolution. CIG (2015)
Toshiki Nishio, Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama
Adaptive particle swarm optimization with multi-dimensional mutation. IWCIA (2015)
Akira Hara, Takuya Mototsuka, Jun-ichi Kushida, Tetsuyuki Takahama
Genetic Programming Using the Best Individuals of Genealogies for Maintaining Population Diversity. SMC (2015)
Tetsuyuki Takahama, Setsuko Sakai
Improving an adaptive differential evolution using hill-valley detection. SoCPaR (2015)
Akira Hara, Jun-ichi Kushida, Kei Kisaka, Tetsuyuki Takahama
Geometric Semantic Genetic Programming Using External Division of Parents. IIAI-AAI (2015)
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)
Tetsuyuki Takahama, Setsuko Sakai
An adaptive differential evolution considering correlation of two algorithm parameters. SCIS&ISIS (2014)
Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama
Enhanced interactive differential evolution using evolutionary level. SCIS&ISIS (2014)
Akira Hara, Jun-ichi Kushida, Takeyuki Nobuta, Tetsuyuki Takahama
Rank-based Semantic Control Crossover in Genetic Programming. SMC (2014)
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)
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)
Takuya Mototsuka, Akira Hara, Jun-ichi Kushida, Tetsuyuki Takahama
Genetic programming with multiple initial populations generated by simulated annealing. IWCIA (2013)
Jun-ichi Kushida, Akira Hara, Tetsuyuki Takahama, Ayumi Kido
Island-based differential evolution with varying subpopulation size. IWCIA (2013)
Akira Hara, Jun-ichi Kushida, Souichi Tanabe, Tetsuyuki Takahama
Parallel Ant Programming using genetic operators. IWCIA (2013)
Tetsuyuki Takahama, Setsuko Sakai
Differential evolution with dynamic strategy and parameter selection by detecting landscape modality. IEEE Congress on Evolutionary Computation (2012)
Tetsuyuki Takahama, Setsuko Sakai
Large scale optimization by differential evolution with landscape modality detection and a diversity archive. IEEE Congress on Evolutionary Computation (2012)
Akira Hara, Yoshimasa Ueno, Tetsuyuki Takahama
New crossover operator based on semantic distance between subtrees in Genetic Programming. SMC (2012)
Akira Hara, Kazumasa Shiraga, Tetsuyuki Takahama
Heterogeneous Particle Swarm Optimization including predator-prey relationship. SCIS&ISIS (2012)
Tetsuyuki Takahama, Setsuko Sakai
Differential Evolution with Graph-Based Speciation by Competitive Hebbian Rules. ICGEC (2012)
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) (2012)
Jun-ichi Kushida, Kazuhisa Oba, Akira Hara, Tetsuyuki Takahama
Solving quadratic assignment problems by differential evolution. SCIS&ISIS (2012)
Tetsuyuki Takahama, Setsuko Sakai
Efficient Constrained Optimization by the ε Constrained Rank-Based Differential Evolution. IEEE Congress on Evolutionary Computation (2012)
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)
Tetsuyuki Takahama, Setsuko Sakai
Efficient nonlinear optimization by differential evolution with a rotation-invariant local sampling operation. IEEE Congress on Evolutionary Computation (2011)
Akira Hara, Manabu Watanabe, Tetsuyuki Takahama
Cartesian Ant Programming. SMC (2011)
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) (2011)
Tetsuyuki Takahama, Setsuko Sakai
Solving nonlinear optimization problems by Differential Evolution with a rotation-invariant crossover operation using Gram-Schmidt process. NaBIC (2010)
Tetsuyuki Takahama, Setsuko Sakai
Efficient constrained optimization by the epsilon constrained adaptive differential evolution. IEEE Congress on Evolutionary Computation (2010)
Akira Hara, Syuhei Matsushima, Takumi Ichimura, Tetsuyuki Takahama
Ant Colony Optimization using exploratory ants for constructing partial solutions. IEEE Congress on Evolutionary Computation (2010)
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)
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)
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)
Tetsuyuki Takahama, Setsuko Sakai
Reducing function evaluations in Differential Evolution using rough approximation-based comparison. IEEE Congress on Evolutionary Computation (2008)
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)
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)
Tetsuyuki Takahama, Setsuko Sakai, Noriyuki Iwane
Solving Nonlinear Constrained Optimization Problems by the ε Constrained Differential Evolution. SMC (2006)
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)
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)
Takumi Ichimura, Kazuya Sakaguchi, Akira Hara, Tetsuyuki Takahama
A Proposal of Interactive Genetic Network Programming by Fuzzy Structural Modeling. SMC (2006)
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)
Tetsuyuki Takahama, Setsuko Sakai
Constrained Optimization by epsilon Constrained Particle Swarm Optimizer with epsilon-level Control. WSTST (2005)
Tetsuyuki Takahama, Setsuko Sakai, Noriyuki Iwane
Constrained Hybrid Algorithm of Particle Swarm Optimization and Genetic Algorithm. Australian Conference on Artificial Intelligence (2005)
Tetsuyuki Takahama, Setsuko Sakai
Constrained Optimization by the alpha Constrained Particle Swarm Optimizer. J. Adv. Comput. Intell. Intell. Informatics 9 (3) (2005)
Akira Hara, Takumi Ichimura, Tetsuyuki Takahama, Yoshinori Isomichi, Motoki Shigemi
Effect of Direct Communication in Ant System. KES (1) (2005)
Akira Hara, Takumi Ichimura, Tetsuyuki Takahama, Yoshinori Isomichi
Extraction of Risk Factors by Multi-agent Voting Model Using Automatically Defined Groups. KES (3) (2005)
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) (2005)
Tetsuyuki Takahama, Setsuko Sakai
Constrained optimization by constrained genetic algorithm (alpha GA). Systems and Computers in Japan 35 (5) (2004)
Tetsuyuki Takahama, Setsuko Sakai
Structural learning of neural networks by coevolutionary genetic algorithm with degeneration. SMC (4) (2004)
Akira Hara, Takumi Ichimura, Tetsuyuki Takahama, Yoshinori Isomichi
Extraction of Rules from Coronary Heart Disease Database Using Automatically Defined Groups. KES (2004)
Tetsuyuki Takahama, Setsuko Sakai, Takumi Ichimura, Yoshinori Isomichi
Structural optimization by genetic algorithm with degeneration (GA d). Systems and Computers in Japan 35 (5) (2004)
Tetsuyuki Takahama, Setsuko Sakai, Noriyuki Iwane
Structural learning of RBF-fuzzy rule bases based on information criteria and degeneration. SMC (2003)
Tetsuyuki Takahama, Setsuko Sakai
Learning fuzzy control rules by alpha-constrained Simplex method. Systems and Computers in Japan 34 (6) (2003)
Akira Hara, Takumi Ichimura, Tetsuyuki Takahama, Yoshinori Isomichi
Extraction of Rules by Heterogeneous Agents Using Automatically Defined Groups. KES (2003)
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)
Tetsuyuki Takahama, Setsuko Sakai, Yoshinori Isomichi
MGGA: Genetic algorithm with mutant genes. Systems and Computers in Japan 33 (14) (2002)
Tetsuyuki Takahama, Setsuko Sakai
Team model and taught-by-the-best operation. CEC (2001)
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)