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)

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)

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)

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)

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)

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

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)

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)

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)

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)

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

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

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

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

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

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

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

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)