Large Language Model-Driven Evolutionary Optimization With a Hallucination-Resilient MechanismOA
Large Language Model-Driven Evolutionary Optimization With a Hallucination-Resilient Mechanism
Weixiong Huang;Rui Wang;Tao Zhang;Sheng Qi;Shichao Fan;Ling Wang
College of Systems Engineering,National University of Defense Technology,Changsha 410073||Hunan Key Laboratory of Multi-Energy System Intelligent Interconnection Technology,Changsha 410073,ChinaHunan Key Laboratory of Multi-Energy System Intelligent Interconnection Technology,Changsha 410073,ChinaCollege of Systems Engineering,National University of Defense Technology,Changsha 410073||Hunan Key Laboratory of Multi-Energy System Intelligent Interconnection Technology,Changsha 410073,ChinaCollege of Systems Engineering,National University of Defense Technology,Changsha 410073||Hunan Key Laboratory of Multi-Energy System Intelligent Interconnection Technology,Changsha 410073,ChinaNational University of Defense Technology,Changsha 410073,ChinaDepartment of Automation,Tsinghua University,Beijing 100084,China
Evolutionary algorithm(EA)evolutionary compu-tationlarge language models(LLMs)
Evolutionary algorithm(EA)evolutionary compu-tationlarge language models(LLMs)
《自动化学报(英文版)》 2026 (6)
1428-1445,18
This work was supported by the National Natural Science Foundation of China(62550020,72421002),the Science and Technology Project for Young and Middle-aged Talents of Hunan(2023TJ-Z03),the University Fundamental Research Fund(23-ZZCX-JDZ-28),and the National Postdoctoral Program for Innovative Talents of China(BX20250439).The authors would also like to thank the support from COSTA:Complex System Optimization Team of the College of System Engineering at NUDT.
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