4 papers
Large Language Models as Particle Swarm Optimizers
Yamato Shinohara, Jinglue Xu, Tianshui Li +1
Optimization problems often require domain-specific expertise to design problem-dependent methodologies. Recently, several approaches have gained attention by integrating large lan…
Large Language Models Synergize with Automated Machine Learning
Jinglue Xu, Jialong Li, Zhen Liu +5
Recently, program synthesis driven by large language models (LLMs) has become increasingly popular. However, program synthesis for machine learning (ML) tasks still poses significa…
Automatic Adaptation Rule Optimization via Large Language Models
Yusei Ishimizu, Jialong Li, Jinglue Xu +3
Rule-based adaptation is a foundational approach to self-adaptation, characterized by its human readability and rapid response. However, building high-performance and robust adapta…
Exploring the Improvement of Evolutionary Computation via Large Language Models
Jinyu Cai, Jinglue Xu, Jialong Li +3
Evolutionary computation (EC), as a powerful optimization algorithm, has been applied across various domains. However, as the complexity of problems increases, the limitations of E…