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When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges

When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges

19 January 2024
Wang Chao
Jiaxuan Zhao
Licheng Jiao
Lingling Li
Fang Liu
Shuyuan Yang
ArXivPDFHTML

Papers citing "When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges"

14 / 14 papers shown
Title
Learning Evolution via Optimization Knowledge Adaptation
Learning Evolution via Optimization Knowledge Adaptation
Chao Wang
Licheng Jiao
Jiaxuan Zhao
Lingling Li
Fang Liu
S. M. I. Simon X. Yang
33
1
0
04 Jan 2025
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
Hashmath Shaik
Alex Doboli
OffRL
ELM
50
0
0
31 Dec 2024
Deep Insights into Automated Optimization with Large Language Models and
  Evolutionary Algorithms
Deep Insights into Automated Optimization with Large Language Models and Evolutionary Algorithms
He Yu
J. Liu
33
2
0
28 Oct 2024
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm
  Intelligence
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence
Shangbin Feng
Zifeng Wang
Yike Wang
Sayna Ebrahimi
Hamid Palangi
...
Nathalie Rauschmayr
Yejin Choi
Yulia Tsvetkov
Chen-Yu Lee
Tomas Pfister
MoMe
25
3
0
15 Oct 2024
"Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot
  Decision Tree Induction and Embedding with Large Language Models
"Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot Decision Tree Induction and Embedding with Large Language Models
Ricardo Knauer
Mario Koddenbrock
Raphael Wallsberger
Nicholas M. Brisson
Georg N. Duda
Deborah Falla
David W. Evans
Erik Rodner
25
0
0
27 Sep 2024
When Large Language Model Meets Optimization
When Large Language Model Meets Optimization
Sen Huang
Kaixiang Yang
Sheng Qi
Rui Wang
23
8
0
16 May 2024
Large Language Model-Aided Evolutionary Search for Constrained
  Multiobjective Optimization
Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization
Zeyi Wang
Songbai Liu
Jianyong Chen
Kay Chen Tan
24
8
0
09 May 2024
Identify Critical Nodes in Complex Network with Large Language Models
Identify Critical Nodes in Complex Network with Large Language Models
Jinzhu Mao
Dongyun Zou
Li Sheng
Siyi Liu
Chen Gao
Yue Wang
Yong Li
26
3
0
01 Mar 2024
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language
  Models
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
Jingwei Sun
Ziyue Xu
Hongxu Yin
Dong Yang
Daguang Xu
Yiran Chen
Holger R. Roth
VLM
87
23
0
02 Oct 2023
SPELL: Semantic Prompt Evolution based on a LLM
SPELL: Semantic Prompt Evolution based on a LLM
Yujian Betterest Li
Kai Wu
31
6
0
02 Oct 2023
AutoML-GPT: Automatic Machine Learning with GPT
AutoML-GPT: Automatic Machine Learning with GPT
Shujian Zhang
Chengyue Gong
Lemeng Wu
Xingchao Liu
Mi Zhou
LLMAG
52
59
0
04 May 2023
Reliable Gradient-free and Likelihood-free Prompt Tuning
Reliable Gradient-free and Likelihood-free Prompt Tuning
Maohao Shen
S. Ghosh
P. Sattigeri
Subhro Das
Yuheng Bu
G. Wornell
VLM
44
10
0
30 Apr 2023
Automated Design of Metaheuristic Algorithms: A Survey
Automated Design of Metaheuristic Algorithms: A Survey
Qi Zhao
Qiqi Duan
Bai Yan
Shi Cheng
Yuhui Shi
19
10
0
12 Mar 2023
BBTv2: Towards a Gradient-Free Future with Large Language Models
BBTv2: Towards a Gradient-Free Future with Large Language Models
Tianxiang Sun
Zhengfu He
Hong Qian
Yunhua Zhou
Xuanjing Huang
Xipeng Qiu
91
53
0
23 May 2022
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