Hiroyuki Sato

According to our database, Hiroyuki Sato authored at least 25 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Adaptive Multi-Population Dynamic Optimization for Multimodal Dynamic Function Optimization.

Shoei Fujita, Ryuki Ishizawa, Hiroyuki Sato, Keiki Takadama

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

2024

Generating High-Dimensional Prototypes with a Classifier System by Evolving in Latent Space.

Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Approximating Pareto Local Optimal Solution Networks.

Shoichiro Tanaka, Gabriela Ochoa, Arnaud Liefooghe, Keiki Takadama, Hiroyuki Sato

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Prototype Generation with the sUpervised Classifier System on kNN Matching.

Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Designing Helper Objectives in Multi-Objectivization.

Shoichiro Tanaka, Arnaud Liefooghe, Keiki Takadama, Hiroyuki Sato

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Directional Pareto Front and Its Estimation to Encourage Multi-Objective Decision-Making.

Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato

IEEE Access, 2023

Exploring High-dimensional Rules Indirectly via Latent Space Through a Dimensionality Reduction for XCS.

Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Pareto Front Upconvert on Multi-objective Building Facility Control Optimization.

Naru Okumura, Tomoaki Takagi, Yoshihiro Ohta, Hiroyuki Sato

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Pareto Front Upconvert by Iterative Estimation Modeling and Solution Sampling.

Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

2022

Can the same rule representation change its matching area?: enhancing representation in XCS for continuous space by probability distribution in multiple dimension.

Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Absumption based on overgenerality and condition-clustering based specialization for XCS with continuous-valued inputs.

Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Inheritance vs. Expansion: Generalization Degree of Nearest Neighbor Rule in Continuous Space as Covering Operator of XCS.

Hiroki Shiraishi, Yohei Hayamizu, Iko Nakari, Hiroyuki Sato, Keiki Takadama

Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

XCSR with VAE using Gaussian Distribution Matching: From Point to Area Matching in Latent Space for Less-overlapped Rule Generation in Observation Space.

Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Supervised Multi-Objective Optimization Algorithm Using Estimation.

Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Beta Distribution based XCS Classifier System.

Hiroki Shiraishi, Yohei Havamizu, Hiroyuki Sato, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

Misclassification detection based on conditional VAE for rule evolution in learning classifier system.

Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Pareto Front Estimation Using Unit Hyperplane.

Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato

Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Weight Vector Arrangement Using Virtual Objective Vectors in Decomposition-based MOEA.

Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Increasing Accuracy and Interpretability of High-Dimensional Rules for Learning Classifier System.

Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Distance Minimization Problems for Multi-factorial Evolutionary Optimization Benchmarking.

Shio Kawakami, Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato

Proceedings of the Hybrid Intelligent Systems, 2020

Visual mapping of multi-objective optimization problems and evolutionary algorithms.

Kohei Yamamoto, Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Incremental lattice design of weight vector set.

Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Preliminary study of adaptive grid-based decomposition on many-objective evolutionary optimization.

Kensuke Kano, Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Non-dominated Solution Sampling Using Environmental Selection in EMO algorithms.

Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

A Distribution Control of Weight Vector Set for Multi-objective Evolutionary Algorithms.

Tomoaki Takagi, Keiki Takadama, Hiroyuki Sato

Proceedings of the Bio-inspired Information and Communication Technologies, 2019