Yu Setoguchi
Affiliations:- Osaka Prefecture University, Sakai, Japan
According to our database1,
Yu Setoguchi
authored at least 10 papers
between 2015 and 2018.
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Bibliography
2018
Reference Point Specification in Inverted Generational Distance for Triangular Linear Pareto Front.
IEEE Trans. Evol. Comput., 2018
How to Specify a Reference Point in Hypervolume Calculation for Fair Performance Comparison.
Evol. Comput., 2018
2017
Performance of Decomposition-Based Many-Objective Algorithms Strongly Depends on Pareto Front Shapes.
IEEE Trans. Evol. Comput., 2017
Reference point specification in hypervolume calculation for fair comparison and efficient search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Hypervolume Subset Selection for Triangular and Inverted Triangular Pareto Fronts of Three-Objective Problems.
Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2017
2016
Preference representation using Gaussian functions on a hyperplane in evolutionary multi-objective optimization.
Soft Comput., 2016
How to compare many-objective algorithms under different settings of population and archive sizes.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Performance comparison of NSGA-II and NSGA-III on various many-objective test problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
A Knee-Based EMO Algorithm with an Efficient Method to Update Mobile Reference Points.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015
Algorithm structure optimization by choosing operators in multiobjective genetic local search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015