3 papers
cs.NE2026
From Consistency to Collaborative Discovery: MFEA-CoD for Multitask Novelty Search
Jiao Liu, Yanchi Li, Hua Yu +2
Evolutionary multitasking (EMT) has shown strong capability in solving multiple optimization problems simultaneously by exploiting latent inter-task consistency, such as similariti…
cs.NE2026
TransGP: Task-Conditioned Transformer-Guided Genetic Programming for Multitask Dynamic Flexible Job Shop Scheduling
Meng Xu, Jiao Liu, Hua Yu +1
Hyper-heuristics have become a popular approach for solving dynamic flexible job shop scheduling (DFJSS) problems. They use gradient-free optimization techniques like Genetic Progr…
cs.HC2025
MazeMate: An LLM-Powered Chatbot to Support Computational Thinking in Gamified Programming Learning
Chenyu Hou, Hua Yu, Gaoxia Zhu +3
Computational Thinking (CT) is a foundational problem-solving skill, and gamified programming environments are a widely adopted approach to cultivating it. While large language mod…