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 (CEC, 2022)

Bus Transportation Network Optimization in Competition of Two Bus Companies Starting with Similar/Different Routes. - R. Zhou; Naoya Yatsu; I. Nakari (SICE, 2022)

Exploring High-dimensional Rules Indirectly via Latent Space Through a Dimensionality Reduction for XCS. - Naoya Yatsu; Hiroki Shiraishi; Hiroyuki Sato; Keiki Takadama (GECCO, 2023)

Design of Generalized and Specialized Helper Objectives for Multi-objective Continuous Optimization Problems. - Keigo Mochizuki; Tomoki Ishizuka; Naoya Yatsu; Hiroyuki Sato; Keiki Takadama (CEC, 2024)

Prototype Generation with the sUpervised Classifier System on kNN Matching. - Naoya Yatsu; Hiroki Shiraishi; Hiroyuki Sato; Keiki Takadama (CEC, 2024)

Generating High-Dimensional Prototypes with a Classifier System by Evolving in Latent Space. - Naoya Yatsu; Hiroki Shiraishi; Hiroyuki Sato; Keiki Takadama (GECCO Companion, 2024)