Setsuko Sakai

According to our database1, Setsuko Sakai authored at least 35 papers between 2002 and 2020.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Constrained optimization by improved particle swarm optimization with the equivalent penalty coefficient method.
Artif. Life Robotics, 2020

2019
An Equivalent Penalty Coefficient Method: An Adaptive Penalty Approach for Population-Based Constrained Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
The velocity updating rule according to an oblique coordinate system with mutation and dynamic scaling for particle swarm optimization.
Artif. Life Robotics, 2018

A New Binomial Crossover Considering Correlation Among Decision Variables for Adaptive Differential Evolution.
Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

2017
An Adaptive Differential Evolution with Learning Parameters According to Groups Defined by the Rank of Objective Values.
Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017

2016
Improving an adaptive differential evolution using hill-valley detection.
Int. J. Hybrid Intell. Syst., 2016

Particle swarm optimization with mutation operations controlled by landscape modality estimation using hill-valley detection.
Artif. Life Robotics, 2016

An adaptive differential evolution with adaptive archive selection and hill-valley detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Emerging collective intelligence in Othello players evolved by differential evolution.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

2014
An adaptive differential evolution considering correlation of two algorithm parameters.
Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

2013
Efficient constrained optimization by the ε constrained differential evolution with rough approximation using kernel regression.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Differential Evolution with Graph-Based Speciation by Competitive Hebbian Rules.
Proceedings of the 2012 Sixth International Conference on Genetic and Evolutionary Computing, 2012

Differential evolution with dynamic strategy and parameter selection by detecting landscape modality.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Efficient Constrained Optimization by the ε Constrained Rank-Based Differential Evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Large scale optimization by differential evolution with landscape modality detection and a diversity archive.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Fuzzy c-means clustering and partition entropy for species-best strategy and search mode selection in nonlinear optimization by differential evolution.
Proceedings of the FUZZ-IEEE 2011, 2011

Efficient nonlinear optimization by differential evolution with a rotation-invariant local sampling operation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Solving nonlinear optimization problems by Differential Evolution with a rotation-invariant crossover operation using Gram-Schmidt process.
Proceedings of the Second World Congress on Nature & Biologically Inspired Computing, 2010

Efficient constrained optimization by the epsilon constrained adaptive differential evolution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Constrained optimization by the epsilon constrained differential evolution with an archive and gradient-based mutation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
A comparative study on kernel smoothers in Differential Evolution with estimated comparison method for reducing function evaluations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Reducing function evaluations in Differential Evolution using rough approximation-based comparison.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Structural learning of neural networks by differential evolution with degeneration using mappings.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Solving Nonlinear Constrained Optimization Problems by the ε Constrained Differential Evolution.
Proceedings of the IEEE International Conference on Systems, 2006

Constrained Optimization by the ε Constrained Differential Evolution with Gradient-Based Mutation and Feasible Elites.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Constrained optimization by applying the /spl alpha/ constrained method to the nonlinear simplex method with mutations.
IEEE Trans. Evol. Comput., 2005

Constrained Optimization by the alpha Constrained Particle Swarm Optimizer.
J. Adv. Comput. Intell. Intell. Informatics, 2005

Constrained Optimization by epsilon Constrained Particle Swarm Optimizer with epsilon-level Control.
Proceedings of the Soft Computing as Transdisciplinary Science and Technology, 2005

Constrained Optimization by the <i>epsilon</i> Constrained Hybrid Algorithm of Particle Swarm Optimization and Genetic Algorithm.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004
Structural optimization by genetic algorithm with degeneration (GA d).
Systems and Computers in Japan, 2004

Constrained optimization by constrained genetic algorithm (alpha GA).
Systems and Computers in Japan, 2004

Structural learning of neural networks by coevolutionary genetic algorithm with degeneration.
Proceedings of the IEEE International Conference on Systems, 2004

2003
Learning fuzzy control rules by alpha-constrained Simplex method.
Systems and Computers in Japan, 2003

Structural learning of RBF-fuzzy rule bases based on information criteria and degeneration.
Proceedings of the IEEE International Conference on Systems, 2003

2002
MGGA: Genetic algorithm with mutant genes.
Systems and Computers in Japan, 2002


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