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pro vyhledávání: '"Iba, Hitoshi"'
Rule-based adaptation is a foundational approach to self-adaptation, characterized by its human readability and rapid response. However, building high-performance and robust adaptation rules is often a challenge because it essentially involves search
Externí odkaz:
http://arxiv.org/abs/2407.02203
Autor:
Xu, Jinglue, Li, Jialong, Liu, Zhen, Suryanarayanan, Nagar Anthel Venkatesh, Zhou, Guoyuan, Guo, Jia, Iba, Hitoshi, Tei, Kenji
Recently, program synthesis driven by large language models (LLMs) has become increasingly popular. However, program synthesis for machine learning (ML) tasks still poses significant challenges. This paper explores a novel form of program synthesis,
Externí odkaz:
http://arxiv.org/abs/2405.03727
Evolutionary computation (EC), as a powerful optimization algorithm, has been applied across various domains. However, as the complexity of problems increases, the limitations of EC have become more apparent. The advent of large language models (LLMs
Externí odkaz:
http://arxiv.org/abs/2405.02876