ReEvo: Large language models as hyper-heuristics with reflective evolution

• Main Authors: YE, Haoran, WANG, Jiarui, CAO, Zhiguang, BERTO, Federico, HUA, Chuanbo, KIM, Haeyeon, PARK, Jinkyoo, SONG, Guojie
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2024
• 主題: Artificial Intelligence and Robotics; Programming Languages and Compilers
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/9815; https://ink.library.smu.edu.sg/context/sis_research/article/10815/viewcontent/2402.01145v3.pdf
• 機構: Singapore Management University

The omnipresence of NP-hard combinatorial optimization problems (COPs) compels domain experts to engage in trial-and-error heuristic design process. The long-standing endeavor of design automation has gained new momentum with the rise of large language models (LLMs). This paper introduces Language H...