Adaptive evolutional learning method of neural networks using genetic algorithms under dynamic environments. - Shinichi Oeda; Takumi Ichimura; Mutsuhiro Terauchi; Tetsuyuki Takahama; Yoshinori Isomichi (KES, 2000)

Team model and taught-by-the-best operation. - Tetsuyuki Takahama; Setsuko Sakai (CEC, 2001)

MGGA: Genetic algorithm with mutant genes. - Tetsuyuki Takahama; Setsuko Sakai; Yoshinori Isomichi (Syst. Comput. Jpn., 2002)

Extraction of Rules by Heterogeneous Agents Using Automatically Defined Groups. - Akira Hara; Takumi Ichimura; Tetsuyuki Takahama; Yoshinori Isomichi (KES, 2003)

Multi-objective Decision Making by AHP and Its Application to Personal Preference Retrieval System. - Takumi Ichimura; Akira Hara; Tetsuyuki Takahama; Yoshinori Isomichi; Rie Utsunomiya (KES, 2003)

Structural learning of RBF-fuzzy rule bases based on information criteria and degeneration. - Tetsuyuki Takahama; Setsuko Sakai; Noriyuki Iwane (SMC, 2003)

Learning fuzzy control rules by alpha-constrained Simplex method. - Tetsuyuki Takahama; Setsuko Sakai (Syst. Comput. Jpn., 2003)

Extraction of Rules from Coronary Heart Disease Database Using Automatically Defined Groups. - Akira Hara; Takumi Ichimura; Tetsuyuki Takahama; Yoshinori Isomichi (KES, 2004)

Structural learning of neural networks by coevolutionary genetic algorithm with degeneration. - Tetsuyuki Takahama; Setsuko Sakai (SMC (4), 2004)

Constrained optimization by constrained genetic algorithm (alpha GA). - Tetsuyuki Takahama; Setsuko Sakai (Syst. Comput. Jpn., 2004)

Structural optimization by genetic algorithm with degeneration (GA d). - Tetsuyuki Takahama; Setsuko Sakai; Takumi Ichimura; Yoshinori Isomichi (Syst. Comput. Jpn., 2004)

Constrained Optimization by the epsilon Constrained Hybrid Algorithm of Particle Swarm Optimization and Genetic Algorithm. - Tetsuyuki Takahama; Setsuko Sakai; Noriyuki Iwane (Australian Conference on Artificial Intelligence, 2005)

Extraction of Risk Factors by Multi-agent Voting Model Using Automatically Defined Groups. - Akira Hara; Takumi Ichimura; Tetsuyuki Takahama; Yoshinori Isomichi (KES (3), 2005)

Effect of Direct Communication in Ant System. - Akira Hara; Takumi Ichimura; Tetsuyuki Takahama; Yoshinori Isomichi; Motoki Shigemi (KES (1), 2005)

Multi-agent Cluster System for Optimal Performance in Heterogeneous Computer Environments. - Toshihiro Ikeda; Akira Hara; Takumi Ichimura; Tetsuyuki Takahama; Yuko Taniguchi; Hiroshige Yamada; Ryota Hakozaki; Haruo Sakuda (KES (1), 2005)

Constrained Optimization by epsilon Constrained Particle Swarm Optimizer with epsilon-level Control. - Tetsuyuki Takahama; Setsuko Sakai (WSTST, 2005)

Constrained Optimization by the alpha Constrained Particle Swarm Optimizer. - Tetsuyuki Takahama; Setsuko Sakai (J. Adv. Comput. Intell. Intell. Informatics, 2005)

Constrained optimization by applying the α constrained method to the nonlinear simplex method with mutations. - Tetsuyuki Takahama; Setsuko Sakai (IEEE Trans. Evol. Comput., 2005)

Effective Diversification of Ant-Based Search Using Colony Fission and Extinction. - Akira Hara; Takumi Ichimura; Nobuyuki Fujita; Tetsuyuki Takahama (IEEE Congress on Evolutionary Computation, 2006)

Constrained Optimization by the ε Constrained Differential Evolution with Gradient-Based Mutation and Feasible Elites. - Tetsuyuki Takahama; Setsuko Sakai (IEEE Congress on Evolutionary Computation, 2006)

A Proposal of Interactive Genetic Network Programming by Fuzzy Structural Modeling. - Takumi Ichimura; Kazuya Sakaguchi; Akira Hara; Tetsuyuki Takahama (SMC, 2006)

Solving Nonlinear Constrained Optimization Problems by the ε Constrained Differential Evolution. - Tetsuyuki Takahama; Setsuko Sakai; Noriyuki Iwane (SMC, 2006)

Species-based differential evolution with switching search strategies for multimodal function optimization. - Miyuki Shibasaka; Akira Hara; Takumi Ichimura; Tetsuyuki Takahama (IEEE Congress on Evolutionary Computation, 2007)

Structural learning of neural networks by differential evolution with degeneration using mappings. - Tetsuyuki Takahama; Setsuko Sakai; Akira Hara; Noriyuki Iwane (IEEE Congress on Evolutionary Computation, 2007)

Reducing function evaluations in Differential Evolution using rough approximation-based comparison. - Tetsuyuki Takahama; Setsuko Sakai (IEEE Congress on Evolutionary Computation, 2008)

A comparative study on kernel smoothers in Differential Evolution with estimated comparison method for reducing function evaluations. - Tetsuyuki Takahama; Setsuko Sakai (IEEE Congress on Evolutionary Computation, 2009)

Human Communication Network Based on the Classification Results of Personal Preferences by Using Self-Organizing Map. - Takumi Ichimura; Azusa Yamasaki; Akira Hara; Tetsuyuki Takahama (SMC, 2009)

Ant Colony Optimization using exploratory ants for constructing partial solutions. - Akira Hara; Syuhei Matsushima; Takumi Ichimura; Tetsuyuki Takahama (IEEE Congress on Evolutionary Computation, 2010)

Constrained optimization by the epsilon constrained differential evolution with an archive and gradient-based mutation. - Tetsuyuki Takahama; Setsuko Sakai (IEEE Congress on Evolutionary Computation, 2010)

Efficient constrained optimization by the epsilon constrained adaptive differential evolution. - Tetsuyuki Takahama; Setsuko Sakai (IEEE Congress on Evolutionary Computation, 2010)

Solving nonlinear optimization problems by Differential Evolution with a rotation-invariant crossover operation using Gram-Schmidt process. - Tetsuyuki Takahama; Setsuko Sakai (NaBIC, 2010)

Efficient nonlinear optimization by differential evolution with a rotation-invariant local sampling operation. - Tetsuyuki Takahama; Setsuko Sakai (IEEE Congress on Evolutionary Computation, 2011)

Fuzzy c-means clustering and partition entropy for species-best strategy and search mode selection in nonlinear optimization by differential evolution. - Tetsuyuki Takahama; Setsuko Sakai (FUZZ-IEEE, 2011)

Cartesian Ant Programming. - Akira Hara; Manabu Watanabe; Tetsuyuki Takahama (SMC, 2011)

A Proposal of Memory and Prediction Based Genetic Algorithm Using Speciation in Dynamic Multimodal Function Optimization. - Takumi Ichimura; Hiroshi Inoue; Akira Hara; Tetsuyuki Takahama; Kenneth J. Mackin (J. Adv. Comput. Intell. Intell. Informatics, 2011)

Large scale optimization by differential evolution with landscape modality detection and a diversity archive. - Tetsuyuki Takahama; Setsuko Sakai (IEEE Congress on Evolutionary Computation, 2012)

Efficient Constrained Optimization by the ε Constrained Rank-Based Differential Evolution. - Tetsuyuki Takahama; Setsuko Sakai (IEEE Congress on Evolutionary Computation, 2012)

Differential evolution with dynamic strategy and parameter selection by detecting landscape modality. - Tetsuyuki Takahama; Setsuko Sakai (IEEE Congress on Evolutionary Computation, 2012)

Differential Evolution with Graph-Based Speciation by Competitive Hebbian Rules. - Tetsuyuki Takahama; Setsuko Sakai (ICGEC, 2012)

Heterogeneous Particle Swarm Optimization including predator-prey relationship. - Akira Hara; Kazumasa Shiraga; Tetsuyuki Takahama (SCIS&ISIS, 2012)

Solving quadratic assignment problems by differential evolution. - Jun-ichi Kushida; Kazuhisa Oba; Akira Hara; Tetsuyuki Takahama (SCIS&ISIS, 2012)

New crossover operator based on semantic distance between subtrees in Genetic Programming. - Akira Hara; Yoshimasa Ueno; Tetsuyuki Takahama (SMC, 2012)

Knowledge acquisition from many-attribute data by genetic programming with clustered terminal symbols. - Akira Hara; Haruko Tanaka; Takumi Ichimura; Tetsuyuki Takahama (Int. J. Knowl. Web Intell., 2012)

Parallel Ant Programming using genetic operators. - Akira Hara; Jun-ichi Kushida; Souichi Tanabe; Tetsuyuki Takahama (IWCIA, 2013)

Island-based differential evolution with varying subpopulation size. - Jun-ichi Kushida; Akira Hara; Tetsuyuki Takahama; Ayumi Kido (IWCIA, 2013)

Genetic programming with multiple initial populations generated by simulated annealing. - Takuya Mototsuka; Akira Hara; Jun-ichi Kushida; Tetsuyuki Takahama (IWCIA, 2013)

Efficient constrained optimization by the ε constrained differential evolution with rough approximation using kernel regression. - Tetsuyuki Takahama; Setsuko Sakai (IEEE Congress on Evolutionary Computation, 2013)

Neuroevolution by Particle Swarm Optimization with Adaptive Input Selection for Controlling Platform-Game Agent. - Akira Hara; Jun-ichi Kushida; Koji Kitao; Tetsuyuki Takahama (SMC, 2013)

Enhanced interactive differential evolution using evolutionary level. - Jun-ichi Kushida; Akira Hara; Tetsuyuki Takahama (SCIS&ISIS, 2014)

An adaptive differential evolution considering correlation of two algorithm parameters. - Tetsuyuki Takahama; Setsuko Sakai (SCIS&ISIS, 2014)

Rank-based Semantic Control Crossover in Genetic Programming. - Akira Hara; Jun-ichi Kushida; Takeyuki Nobuta; Tetsuyuki Takahama (SMC, 2014)

Behavior control of multiple agents by Cartesian Genetic Programming equipped with sharing sub-programs among agents. - Akira Hara; Jun-ichi Kushida; Tomoya Okita; Tetsuyuki Takahama (IWCIA, 2015)

Cartesian Ant Programming with node release mechanism. - Jun-ichi Kushida; Akira Hara; Tetsuyuki Takahama (IWCIA, 2015)

Adaptive particle swarm optimization with multi-dimensional mutation. - Toshiki Nishio; Jun-ichi Kushida; Akira Hara; Tetsuyuki Takahama (IWCIA, 2015)

Rank-based differential evolution with multiple mutation strategies for large scale global optimization. - Jun-ichi Kushida; Akira Hara; Tetsuyuki Takahama (CEC, 2015)

Emerging collective intelligence in Othello players evolved by differential evolution. - Tetsuyuki Takahama; Setsuko Sakai (CIG, 2015)

Geometric Semantic Genetic Programming Using External Division of Parents. - Akira Hara; Jun-ichi Kushida; Kei Kisaka; Tetsuyuki Takahama (IIAI-AAI, 2015)

Genetic Programming Using the Best Individuals of Genealogies for Maintaining Population Diversity. - Akira Hara; Takuya Mototsuka; Jun-ichi Kushida; Tetsuyuki Takahama (SMC, 2015)

Efficiency improvement of imitation operator in multi-agent control model based on Cartesian Genetic Programming. - Akira Hara; Hiroki Konishi; Jun-ichi Kushida; Tetsuyuki Takahama (IWCIA, 2016)

Cartesian ant programming with transition rule considering internode distance. - Jun-ichi Kushida; Akira Hara; Tetsuyuki Takahama; Shogo Nagura (IWCIA, 2016)

Particle swarm optimization with dynamic search strategies based on landscape modality estimation. - Toshiki Nishio; Jun-ichi Kushida; Akira Hara; Tetsuyuki Takahama (IWCIA, 2016)

An adaptive differential evolution with adaptive archive selection and hill-valley detection. - Tetsuyuki Takahama; Setsuko Sakai (CEC, 2016)

Deterministic Crossover Based on Target Semantics in Geometric Semantic Genetic Programming. - Akira Hara; Jun-ichi Kushida; Ryo Tanemura; Tetsuyuki Takahama (IIAI-AAI, 2016)

Deterministic Geometric Semantic Genetic Programming with Optimal Mate Selection. - Akira Hara; Jun-ichi Kushida; Tetsuyuki Takahama (SMC, 2016)

Particle swarm optimization with mutation operations controlled by landscape modality estimation using hill-valley detection. - Tetsuyuki Takahama; Setsuko Sakai; Jun-ichi Kushida; Akira Hara (Artif. Life Robotics, 2016)

Improving an adaptive differential evolution using hill-valley detection. - Tetsuyuki Takahama; Setsuko Sakai (Int. J. Hybrid Intell. Syst., 2016)

Cartesian ant programming introducing symbiotic relationship between ants and aphids. - Jun-ichi Kushida; Akira Hara; Tetsuyuki Takahama; Naoya Mimura (IWCIA, 2017)

The influence of generation alternation model on search performance in deterministic geometric semantic genetic programming. - Akira Hara; Jun-ichi Kushida; Takamichi Yamagata; Tetsuyuki Takahama (SMC, 2017)

An Adaptive Differential Evolution with Learning Parameters According to Groups Defined by the Rank of Objective Values. - Tetsuyuki Takahama; Setsuko Sakai (ICSI (1), 2017)

Particle swarm optimisation with dynamic search strategies based on rank correlation. - Toshiki Nishio; Jun-ichi Kushida; Akira Hara; Tetsuyuki Takahama (Int. J. Comput. Intell. Stud., 2017)

A New Binomial Crossover Considering Correlation Among Decision Variables for Adaptive Differential Evolution. - Tetsuyuki Takahama; Setsuko Sakai (SCIS&ISIS, 2018)

Artificial Bee Colony Programming Using Semantic Control Crossover. - Akira Hara; Jun-ichi Kushida; Ryota Takemoto; Tetsuyuki Takahama (SMC, 2018)

Cartesian Genetic Programming with Module Mutation for Symbolic Regression. - Jun-ichi Kushida; Akira Hara; Tetsuyuki Takahama (SMC, 2018)

The velocity updating rule according to an oblique coordinate system with mutation and dynamic scaling for particle swarm optimization. - Tetsuyuki Takahama; Setsuko Sakai (Artif. Life Robotics, 2018)

Efficient Constraint Handling based on the Adaptive Penalty Method with Balancing the Objective Function Value and the Constraint Violation. - Takeshi Kawachi; Jun-ichi Kushida; Akira Hara; Tetsuyuki Takahama (IWCIA, 2019)

An Equivalent Penalty Coefficient Method: An Adaptive Penalty Approach for Population-Based Constrained Optimization. - Tetsuyuki Takahama; Setsuko Sakai (CEC, 2019)

L-SHADE with an adaptive penalty method of balancing the objective value and the constraint violation. - Takeshi Kawachi; Jun-ichi Kushida; Akira Hara; Tetsuyuki Takahama (GECCO (Companion), 2019)

Time Series Prediction Using Deterministic Geometric Semantic Genetic Programming. - Akira Hara; Jun-ichi Kushida; Tetsuyuki Takahama (SMC, 2019)

Adaptive Directional Mutation for an Adaptive Differential Evolution Algorithm. - Tetsuyuki Takahama; Setsuko Sakai (SCIS/ISIS, 2020)

Maintaining Population Diversity in Deterministic Geometric Semantic Genetic Programming by ϵ-Lexicase Selection. - Akira Hara; Jun-ichi Kushida; Tetsuyuki Takahama (SMC, 2020)

Constrained optimization by improved particle swarm optimization with the equivalent penalty coefficient method. - Tetsuyuki Takahama; Setsuko Sakai (Artif. Life Robotics, 2020)

An Adaptive Differential Evolution Algorithm Utilizing Failure Information and Success Information. - Tetsuyuki Takahama; Setsuko Sakai (CEC, 2021)

Efficient Data Presentation Method for Building User Preference Model Using Interactive Evolutionary Computation. - Akira Hara; Jun-ichi Kushida; Ryohei Yasuda; Tetsuyuki Takahama (KES-IDT, 2021)

Efficient parameter-free adaptive penalty method with balancing the objective function value and the constraint violation. - Takeshi Kawachi; Jun-ichi Kushida; Akira Hara; Tetsuyuki Takahama (Int. J. Comput. Intell. Stud., 2021)

Converging and Moving Detection Using an Outward Vector Rate for Adaptive Differential Evolution. - Tetsuyuki Takahama; Setsuko Sakai (SCIS/ISIS, 2022)

Multimodal optimization by particle swarm optimization with graph-based speciation using β-relaxed relative neighborhood graph and seed-centered mutation. - Tetsuyuki Takahama; Setsuko Sakai (Artif. Life Robotics, 2022)

Multimodal Optimization by Speciation-Based Differential Evolution using Graphs with Stochastic Global and Local Searches and Crossover. - Tetsuyuki Takahama; Setsuko Sakai (SCIS/ISIS, 2024)