Ryoki Hamano

Orcid: 0000-0002-4425-1683

According to our database1, Ryoki Hamano authored at least 14 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
On the Generalization Bounds of Symbolic Regression with Genetic Programming.
CoRR, April, 2026

2025
Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm.
Evol. Comput., 2025

Search Space Selection Using Constrained Mixed-Integer Optimization Method.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

CatCMA with Margin: Stochastic Optimization for Continuous, Integer, and Categorical Variables.
Proceedings of the Genetic and Evolutionary Computation Conference, 2025

2024
Marginal Probability-Based Integer Handling for CMA-ES Tackling Single- and Multi-Objective Mixed-Integer Black-Box Optimization.
ACM Trans. Evol. Learn. Optim., June, 2024

CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Natural Gradient Interpretation of Rank-One Update in CMA-ES.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

CMA-ES for Safe Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

CatCMA : Stochastic Optimization for Mixed-Category Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023
(1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022
CMA-ES with Margin for Single-and Multi-Objective Mixed-Integer Black-Box Optimization.
CoRR, 2022

Benchmarking CMA-ES with margin on the bbob-mixint testbed.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

CMA-ES with margin: lower-bounding marginal probability for mixed-integer black-box optimization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Reduction of genetic drift in population-based incremental learning via entropy regularization.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022


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