Setsuko Sakai - RankMe

42 papers B 18Journal 11Unranked 13

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Multimodal Optimization by Speciation-Based Differential Evolution using Graphs with Stochastic Global and Local Searches and Crossover. SCIS/ISIS Tetsuyuki Takahama, Setsuko Sakai
2022	—	`conf`	Converging and Moving Detection Using an Outward Vector Rate for Adaptive Differential Evolution. SCIS/ISIS Tetsuyuki Takahama, Setsuko Sakai
2022	J	`jnl`	Multimodal optimization by particle swarm optimization with graph-based speciation using β-relaxed relative neighborhood graph and seed-centered mutation. Artif. Life Robotics Tetsuyuki Takahama, Setsuko Sakai
2021	B	`conf`	An Adaptive Differential Evolution Algorithm Utilizing Failure Information and Success Information. CEC Tetsuyuki Takahama, Setsuko Sakai
2020	—	`conf`	Adaptive Directional Mutation for an Adaptive Differential Evolution Algorithm. SCIS/ISIS Tetsuyuki Takahama, Setsuko Sakai
2020	J	`jnl`	Constrained optimization by improved particle swarm optimization with the equivalent penalty coefficient method. Artif. Life Robotics Tetsuyuki Takahama, Setsuko Sakai
2019	B	`conf`	An Equivalent Penalty Coefficient Method: An Adaptive Penalty Approach for Population-Based Constrained Optimization. CEC Tetsuyuki Takahama, Setsuko Sakai
2018	—	`conf`	A New Binomial Crossover Considering Correlation Among Decision Variables for Adaptive Differential Evolution. SCIS&ISIS Tetsuyuki Takahama, Setsuko Sakai
2018	J	`jnl`	The velocity updating rule according to an oblique coordinate system with mutation and dynamic scaling for particle swarm optimization. Artif. Life Robotics Tetsuyuki Takahama, Setsuko Sakai
2017	—	`conf`	An Adaptive Differential Evolution with Learning Parameters According to Groups Defined by the Rank of Objective Values. ICSI (1) Tetsuyuki Takahama, Setsuko Sakai
2016	B	`conf`	An adaptive differential evolution with adaptive archive selection and hill-valley detection. CEC Tetsuyuki Takahama, Setsuko Sakai
2016	J	`jnl`	Improving an adaptive differential evolution using hill-valley detection. Int. J. Hybrid Intell. Syst. Tetsuyuki Takahama, Setsuko Sakai
2016	J	`jnl`	Particle swarm optimization with mutation operations controlled by landscape modality estimation using hill-valley detection. Artif. Life Robotics Tetsuyuki Takahama, Setsuko Sakai, Jun-ichi Kushida, Akira Hara
2015	—	`conf`	Emerging collective intelligence in Othello players evolved by differential evolution. CIG Tetsuyuki Takahama, Setsuko Sakai
2015	—	`conf`	Improving an adaptive differential evolution using hill-valley detection. SoCPaR Tetsuyuki Takahama, Setsuko Sakai
2014	—	`conf`	An adaptive differential evolution considering correlation of two algorithm parameters. SCIS&ISIS Tetsuyuki Takahama, Setsuko Sakai
2013	B	`conf`	Efficient constrained optimization by the ε constrained differential evolution with rough approximation using kernel regression. IEEE Congress on Evolutionary Computation Tetsuyuki Takahama, Setsuko Sakai
2012	—	`conf`	Differential Evolution with Graph-Based Speciation by Competitive Hebbian Rules. ICGEC Tetsuyuki Takahama, Setsuko Sakai
2012	B	`conf`	Differential evolution with dynamic strategy and parameter selection by detecting landscape modality. IEEE Congress on Evolutionary Computation Tetsuyuki Takahama, Setsuko Sakai
2012	B	`conf`	Efficient Constrained Optimization by the ε Constrained Rank-Based Differential Evolution. IEEE Congress on Evolutionary Computation Tetsuyuki Takahama, Setsuko Sakai
2012	B	`conf`	Large scale optimization by differential evolution with landscape modality detection and a diversity archive. IEEE Congress on Evolutionary Computation Tetsuyuki Takahama, Setsuko Sakai
2011	B	`conf`	Efficient nonlinear optimization by differential evolution with a rotation-invariant local sampling operation. IEEE Congress on Evolutionary Computation Tetsuyuki Takahama, Setsuko Sakai
2011	B	`conf`	Fuzzy c-means clustering and partition entropy for species-best strategy and search mode selection in nonlinear optimization by differential evolution. FUZZ-IEEE Tetsuyuki Takahama, Setsuko Sakai
2010	B	`conf`	Constrained optimization by the epsilon constrained differential evolution with an archive and gradient-based mutation. IEEE Congress on Evolutionary Computation Tetsuyuki Takahama, Setsuko Sakai
2010	B	`conf`	Efficient constrained optimization by the epsilon constrained adaptive differential evolution. IEEE Congress on Evolutionary Computation Tetsuyuki Takahama, Setsuko Sakai
2010	—	`conf`	Solving nonlinear optimization problems by Differential Evolution with a rotation-invariant crossover operation using Gram-Schmidt process. NaBIC Tetsuyuki Takahama, Setsuko Sakai
2009	B	`conf`	A comparative study on kernel smoothers in Differential Evolution with estimated comparison method for reducing function evaluations. IEEE Congress on Evolutionary Computation Tetsuyuki Takahama, Setsuko Sakai
2008	B	`conf`	Reducing function evaluations in Differential Evolution using rough approximation-based comparison. IEEE Congress on Evolutionary Computation Tetsuyuki Takahama, Setsuko Sakai
2007	B	`conf`	Structural learning of neural networks by differential evolution with degeneration using mappings. IEEE Congress on Evolutionary Computation Tetsuyuki Takahama, Setsuko Sakai, Akira Hara, Noriyuki Iwane
2006	B	`conf`	Constrained Optimization by the ε Constrained Differential Evolution with Gradient-Based Mutation and Feasible Elites. IEEE Congress on Evolutionary Computation Tetsuyuki Takahama, Setsuko Sakai
2006	B	`conf`	Solving Nonlinear Constrained Optimization Problems by the ε Constrained Differential Evolution. SMC Tetsuyuki Takahama, Setsuko Sakai, Noriyuki Iwane
2005	—	`conf`	Constrained Optimization by epsilon Constrained Particle Swarm Optimizer with epsilon-level Control. WSTST Tetsuyuki Takahama, Setsuko Sakai
2005	—	`conf`	Constrained Optimization by the Australian Conference on Artificial Intelligence Tetsuyuki Takahama, Setsuko Sakai, Noriyuki Iwane
2005	J	`jnl`	Constrained Optimization by the alpha Constrained Particle Swarm Optimizer. J. Adv. Comput. Intell. Intell. Informatics Tetsuyuki Takahama, Setsuko Sakai
2005	J	`jnl`	Constrained optimization by applying the α constrained method to the nonlinear simplex method with mutations. IEEE Trans. Evol. Comput. Tetsuyuki Takahama, Setsuko Sakai
2004	J	`jnl`	Constrained optimization by constrained genetic algorithm (alpha GA). Syst. Comput. Jpn. Tetsuyuki Takahama, Setsuko Sakai
2004	—	`conf`	Structural learning of neural networks by coevolutionary genetic algorithm with degeneration. SMC (4) Tetsuyuki Takahama, Setsuko Sakai
2004	J	`jnl`	Structural optimization by genetic algorithm with degeneration (GA d). Syst. Comput. Jpn. Tetsuyuki Takahama, Setsuko Sakai, Takumi Ichimura, Yoshinori Isomichi
2003	J	`jnl`	Learning fuzzy control rules by alpha-constrained Simplex method. Syst. Comput. Jpn. Tetsuyuki Takahama, Setsuko Sakai
2003	B	`conf`	Structural learning of RBF-fuzzy rule bases based on information criteria and degeneration. SMC Tetsuyuki Takahama, Setsuko Sakai, Noriyuki Iwane
2002	J	`jnl`	MGGA: Genetic algorithm with mutant genes. Syst. Comput. Jpn. Tetsuyuki Takahama, Setsuko Sakai, Yoshinori Isomichi
2001	B	`conf`	Team model and taught-by-the-best operation. CEC Tetsuyuki Takahama, Setsuko Sakai