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

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

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...

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Bibliographic Details
Main Authors: YE, Haoran, WANG, Jiarui, CAO, Zhiguang, BERTO, Federico, HUA, Chuanbo, KIM, Haeyeon, PARK, Jinkyoo, SONG, Guojie
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
Artificial Intelligence and Robotics
Programming Languages and Compilers
Online Access:https://ink.library.smu.edu.sg/sis_research/9815
https://ink.library.smu.edu.sg/context/sis_research/article/10815/viewcontent/2402.01145v3.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/9815
https://ink.library.smu.edu.sg/context/sis_research/article/10815/viewcontent/2402.01145v3.pdf

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