Yu Setoguchi

According to our database1, Yu Setoguchi authored at least 10 papers between 2015 and 2018.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Reference Point Specification in Inverted Generational Distance for Triangular Linear Pareto Front.
IEEE Trans. Evolutionary Computation, 2018

How to Specify a Reference Point in Hypervolume Calculation for Fair Performance Comparison.
Evolutionary Computation, 2018

2017
Performance of Decomposition-Based Many-Objective Algorithms Strongly Depends on Pareto Front Shapes.
IEEE Trans. Evolutionary Computation, 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


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