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Evolutionary Computation in the Era of Large Language Model: Survey and
  Roadmap

Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap

18 January 2024
Xingyu Wu
Sheng-hao Wu
Jibin Wu
Liang Feng
Kay Chen Tan
    ELM
ArXivPDFHTML

Papers citing "Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap"

50 / 52 papers shown
Title
Visual Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models: A Case Study of Influence Maximization
Visual Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models: A Case Study of Influence Maximization
Jie Zhao
K. H. Cheong
OffRL
12
0
0
11 May 2025
Evolutionary ecology of words
Evolutionary ecology of words
Reiji Suzuki
Takaya Arita
16
0
0
09 May 2025
TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution
TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution
Zhikai Zhao
Chuanbo Hua
Federico Berto
Kanghoon Lee
Zihan Ma
Jiachen Li
Jinkyoo Park
32
1
0
07 May 2025
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
Wenhao Li
Bo Jin
Mingyi Hong
Changhong Lu
Xiangfeng Wang
36
0
0
07 May 2025
QM-ToT: A Medical Tree of Thoughts Reasoning Framework for Quantized Model
QM-ToT: A Medical Tree of Thoughts Reasoning Framework for Quantized Model
Zongxian Yang
Jiayu Qian
Z. Huang
Kay Chen Tan
LM&MA
LRM
28
0
0
13 Apr 2025
Confirmation Bias in Generative AI Chatbots: Mechanisms, Risks, Mitigation Strategies, and Future Research Directions
Confirmation Bias in Generative AI Chatbots: Mechanisms, Risks, Mitigation Strategies, and Future Research Directions
Yiran Du
19
0
0
12 Apr 2025
Memetic Search for Green Vehicle Routing Problem with Private Capacitated Refueling Stations
Memetic Search for Green Vehicle Routing Problem with Private Capacitated Refueling Stations
Rui Xu
Xing Fan
Shengcai Liu
Wenjie Chen
K. Tang
16
0
0
06 Apr 2025
LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection
LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection
YiMing Yu
Jason Zutty
26
0
0
03 Apr 2025
LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
Nikhil Abhyankar
Parshin Shojaee
Chandan K. Reddy
56
0
0
18 Mar 2025
Large Language Model as Meta-Surrogate for Data-Driven Many-Task Optimization: A Proof-of-Principle Study
X. Zhang
Yue-jiao Gong
Jun Zhang
48
0
0
11 Mar 2025
Large Language Model-Based Benchmarking Experiment Settings for Evolutionary Multi-Objective Optimization
Large Language Model-Based Benchmarking Experiment Settings for Evolutionary Multi-Objective Optimization
Lie Meng Pang
H. Ishibuchi
33
0
0
28 Feb 2025
MOLLM: Multi-Objective Large Language Model for Molecular Design -- Optimizing with Experts
MOLLM: Multi-Objective Large Language Model for Molecular Design -- Optimizing with Experts
Nian Ran
Yue Wang
Richard Allmendinger
51
0
0
18 Feb 2025
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training
Yixin Ou
Yunzhi Yao
N. Zhang
Hui Jin
Jiacheng Sun
Shumin Deng
Z. Li
H. Chen
KELM
CLL
49
0
0
16 Feb 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
An Evolutionary Large Language Model for Hallucination Mitigation
An Evolutionary Large Language Model for Hallucination Mitigation
Abdennour Boulesnane
Abdelhakim Souilah
HILM
75
0
0
03 Dec 2024
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
Zeyuan Ma
Hongshu Guo
Yue-jiao Gong
Jun Zhang
Kay Chen Tan
92
2
0
01 Nov 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
HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models
HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models
Yu Zhou
Xingyu Wu
Jibin Wu
Liang Feng
Kay Chen Tan
MoMe
54
0
0
27 Sep 2024
Design Principle Transfer in Neural Architecture Search via Large
  Language Models
Design Principle Transfer in Neural Architecture Search via Large Language Models
Xun Zhou
Liang Feng
Xingyu Wu
Zhichao Lu
Kay Chen Tan
24
3
0
21 Aug 2024
A Taxonomy of Architecture Options for Foundation Model-based Agents:
  Analysis and Decision Model
A Taxonomy of Architecture Options for Foundation Model-based Agents: Analysis and Decision Model
Jingwen Zhou
Qinghua Lu
Jieshan Chen
Liming Zhu
Xiwei Xu
Zhenchang Xing
Stefan Harrer
33
0
0
06 Aug 2024
An investigation on the use of Large Language Models for hyperparameter
  tuning in Evolutionary Algorithms
An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms
Leonardo Lucio Custode
Fabio Caraffini
Anil Yaman
Giovanni Iacca
35
2
0
05 Aug 2024
Understanding the Importance of Evolutionary Search in Automated
  Heuristic Design with Large Language Models
Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models
Rui Zhang
Fei Liu
Xi Lin
Zhenkun Wang
Zhichao Lu
Qingfu Zhang
19
7
0
15 Jul 2024
Large Language Models as Surrogate Models in Evolutionary Algorithms: A
  Preliminary Study
Large Language Models as Surrogate Models in Evolutionary Algorithms: A Preliminary Study
Hao Hao
Xiaoqun Zhang
Aimin Zhou
ELM
29
9
0
15 Jun 2024
From Text to Life: On the Reciprocal Relationship between Artificial
  Life and Large Language Models
From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models
Eleni Nisioti
Claire Glanois
Elias Najarro
Andrew Dai
Elliot Meyerson
J. Pedersen
Laetitia Teodorescu
Conor F. Hayes
Shyam Sudhakaran
Sebastian Risi
AI4CE
LM&Ro
30
2
0
14 Jun 2024
Open-Endedness is Essential for Artificial Superhuman Intelligence
Open-Endedness is Essential for Artificial Superhuman Intelligence
Edward Hughes
Michael Dennis
Jack Parker-Holder
Feryal M. P. Behbahani
Aditi Mavalankar
Yuge Shi
Tom Schaul
Tim Rocktaschel
LRM
24
18
0
06 Jun 2024
Evolutionary Computation for the Design and Enrichment of
  General-Purpose Artificial Intelligence Systems: Survey and Prospects
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects
Javier Poyatos
Javier Del Ser
Salvador Garcia
H. Ishibuchi
Daniel Molina
I. Triguero
Bing Xue
Xin Yao
Francisco Herrera
22
1
0
03 Jun 2024
Evolutionary Large Language Model for Automated Feature Transformation
Evolutionary Large Language Model for Automated Feature Transformation
Nanxu Gong
Chandan K. Reddy
Wangyang Ying
Yanjie Fu
24
0
0
25 May 2024
When Large Language Model Meets Optimization
When Large Language Model Meets Optimization
Sen Huang
Kaixiang Yang
Sheng Qi
Rui Wang
25
8
0
16 May 2024
Enhancing Decision-Making in Optimization through LLM-Assisted
  Inference: A Neural Networks Perspective
Enhancing Decision-Making in Optimization through LLM-Assisted Inference: A Neural Networks Perspective
Gaurav Singh
K. Bali
26
1
0
12 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
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
Parshin Shojaee
Kazem Meidani
Shashank Gupta
A. Farimani
Chandan K. Reddy
34
13
0
29 Apr 2024
Multi-View Subgraph Neural Networks: Self-Supervised Learning with
  Scarce Labeled Data
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data
Zhenzhong Wang
Qingyuan Zeng
Wanyu Lin
Min Jiang
Kay Chen Tan
SSL
24
1
0
19 Apr 2024
CausalBench: A Comprehensive Benchmark for Causal Learning Capability of
  Large Language Models
CausalBench: A Comprehensive Benchmark for Causal Learning Capability of Large Language Models
Yu Zhou
Xingyu Wu
Beichen Huang
Jibin Wu
Liang Feng
Kay Chen Tan
ELM
CML
40
2
0
09 Apr 2024
Exploring the True Potential: Evaluating the Black-box Optimization
  Capability of Large Language Models
Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models
Beichen Huang
Xingyu Wu
Yu Zhou
Jibin Wu
Liang Feng
Ran Cheng
Kay Chen Tan
47
12
0
09 Apr 2024
BLADE: Enhancing Black-box Large Language Models with Small
  Domain-Specific Models
BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models
Haitao Li
Qingyao Ai
Jia Chen
Qian Dong
Zhijing Wu
Yiqun Liu
Chong Chen
Qi Tian
AILaw
31
13
0
27 Mar 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
28
3
0
01 Mar 2024
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous
  Driving and Zero-Shot Instruction Following
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following
Brian Yang
Huangyuan Su
N. Gkanatsios
Tsung-Wei Ke
Ayush Jain
Jeff Schneider
Katerina Fragkiadaki
DiffM
34
19
0
09 Feb 2024
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms
  via Large Language Models (LLMs)
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
Junhua Zeng
Chao Li
Zhun Sun
Qibin Zhao
Guoxu Zhou
19
4
0
04 Feb 2024
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design
  Using Large Language Model
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
Fei Liu
Xialiang Tong
Mingxuan Yuan
Xi Lin
Fu Luo
Zhenkun Wang
Zhichao Lu
Qingfu Zhang
VLM
27
53
0
04 Jan 2024
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive
  Algorithm Representation
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation
Xingyu Wu
Yan Zhong
Jibin Wu
Bingbing Jiang
Kay Chen Tan
17
5
0
22 Nov 2023
LLM Performance Predictors are good initializers for Architecture Search
LLM Performance Predictors are good initializers for Architecture Search
Ganesh Jawahar
Muhammad Abdul-Mageed
L. Lakshmanan
Dujian Ding
LRM
37
10
0
25 Oct 2023
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for
  Traveling Salesman Problems
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems
Shiqing Liu
Xueming Yan
Yaochu Jin
29
8
0
10 Oct 2023
SPELL: Semantic Prompt Evolution based on a LLM
SPELL: Semantic Prompt Evolution based on a LLM
Yujian Betterest Li
Kai Wu
31
10
0
02 Oct 2023
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models
Yonggan Fu
Yongan Zhang
Zhongzhi Yu
Sixu Li
Zhifan Ye
Chaojian Li
Cheng Wan
Ying Lin
27
59
0
19 Sep 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
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Jingfeng Yang
Hongye Jin
Ruixiang Tang
Xiaotian Han
Qizhang Feng
Haoming Jiang
Bing Yin
Xia Hu
LM&MA
123
593
0
26 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
21
10
0
12 Mar 2023
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors,
  and Lessons Learned
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
Deep Ganguli
Liane Lovitt
John Kernion
Amanda Askell
Yuntao Bai
...
Nicholas Joseph
Sam McCandlish
C. Olah
Jared Kaplan
Jack Clark
216
327
0
23 Aug 2022
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