Four master's students presented at AROB2026

Four Master’s students, Araki, Kano, Nabata, and Nogata presented their research at the Joint Symposium of the 31st International Symposium on Artificial Life and Robotics and the 11th International Symposium on BioComplexity (AROB-ISBC 2026)

• AROB-ISBC 2026

Presented papers

• Yuto Kano, Yuki Hanawa, Tomohiro Harada, “Analysis of the Impact of Ill-Conditioned RBF Surrogates on the Optimization Performance of :Surrogate-Assisted Evolutionary Algorithms,” the Joint Symposium: 31st International Symposium on Artificial Life and Robotics and 11th International Symposium on BioComplexity (AROB-ISBC 2026), pp. 330-335, 2026.
• Yoshiki Nogata, Tomohiro Harada, Fumito Uwano, “Comparison of Priority Weight Sampling Methods in Multi-Objective Multi-Agent Reinforcement Learning,” the Joint Symposium: 31st International Symposium on Artificial Life and Robotics and 11th International Symposium on BioComplexity (AROB-ISBC 2026), pp. 935-940, 2026.
• Shunto Nabata, Tomohiro Harada, “An Evolutionary Computation Framework to Analyze the Relationship Between Constraint Settings and Optimal Solutions in Multiple-Constraint Optimization Problems,” the Joint Symposium: 31st International Symposium on Artificial Life and Robotics and 11th International Symposium on BioComplexity (AROB-ISBC 2026), pp. 336-341, 2026.
• Yuto Araki, Yuhiro Ono, Tomohiro Harada, “Automatic Generation of Challenging Optimization Benchmarks via Large Language Models and Evolutionary Computation,” the Joint Symposium: 31st International Symposium on Artificial Life and Robotics and 11th International Symposium on BioComplexity (AROB-ISBC 2026), pp. 342-347, 2026.