Setsuko Sakai

Publication Activity (10 Years)

Years Active: 2001-2022
Publications (10 Years): 12

Top Topics

Mutation Operation

Differential Evolution

Constrained Optimization

Particle Swarm Optimization

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)
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)
Tetsuyuki Takahama, Setsuko Sakai
An Equivalent Penalty Coefficient Method: An Adaptive Penalty Approach for Population-Based Constrained Optimization. CEC (2019)
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)
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)
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)
Tetsuyuki Takahama, Setsuko Sakai
Emerging collective intelligence in Othello players evolved by differential evolution. CIG (2015)
Tetsuyuki Takahama, Setsuko Sakai
Improving an adaptive differential evolution using hill-valley detection. SoCPaR (2015)
Tetsuyuki Takahama, Setsuko Sakai
An adaptive differential evolution considering correlation of two algorithm parameters. SCIS&ISIS (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)
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)
Tetsuyuki Takahama, Setsuko Sakai
Differential Evolution with Graph-Based Speciation by Competitive Hebbian Rules. ICGEC (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)
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)
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)
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)
Tetsuyuki Takahama, Setsuko Sakai, Noriyuki Iwane
Solving Nonlinear Constrained Optimization Problems by the ε Constrained Differential Evolution. SMC (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)
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)
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)
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)
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)