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Evolution of Heuristics: Towards Efficient Automatic Algorithm Design
  Using Large Language Model

Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model

4 January 2024
Fei Liu
Xialiang Tong
Mingxuan Yuan
Xi Lin
Fu Luo
Zhenkun Wang
Zhichao Lu
Qingfu Zhang
    VLM
ArXivPDFHTML

Papers citing "Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model"

19 / 19 papers shown
Title
USPR: Learning a Unified Solver for Profiled Routing
USPR: Learning a Unified Solver for Profiled Routing
Chuanbo Hua
Federico Berto
Zhikai Zhao
Jiwoo Son
Changhyun Kwon
Jinkyoo Park
44
0
0
08 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
48
0
0
07 May 2025
Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search
Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search
Fei Liu
Qingfu Zhang
Xialiang Tong
M. Yuan
K. Mao
74
0
0
28 Apr 2025
Evolution of Optimization Algorithms for Global Placement via Large Language Models
Evolution of Optimization Algorithms for Global Placement via Large Language Models
Xufeng Yao
Jiaxi Jiang
Yuxuan Zhao
Peiyu Liao
Yibo Lin
Bei Yu
68
0
0
18 Apr 2025
Large Language Models as Particle Swarm Optimizers
Large Language Models as Particle Swarm Optimizers
Yamato Shinohara
Jinglue Xu
Tianshui Li
Hitoshi Iba
28
0
0
12 Apr 2025
Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning
Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning
Anja Surina
Amin Mansouri
Lars Quaedvlieg
Amal Seddas
Maryna Viazovska
Emmanuel Abbe
Çağlar Gülçehre
38
1
0
07 Apr 2025
CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization
CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization
Weiwei Sun
Shengyu Feng
Shanda Li
Yiming Yang
LLMAG
45
1
0
06 Apr 2025
Combinatorial Optimization via LLM-driven Iterated Fine-tuning
Pranjal Awasthi
Sreenivas Gollapudi
Ravi Kumar
Kamesh Munagala
68
0
0
10 Mar 2025
Towards Foundation Models for Mixed Integer Linear Programming
Towards Foundation Models for Mixed Integer Linear Programming
Sirui Li
Janardhan Kulkarni
Ishai Menache
Cathy Wu
Beibin Li
55
3
0
24 Feb 2025
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
104
2
0
01 Nov 2024
RouteFinder: Towards Foundation Models for Vehicle Routing Problems
RouteFinder: Towards Foundation Models for Vehicle Routing Problems
Federico Berto
Chuanbo Hua
Nayeli Gast Zepeda
André Hottung
N. Wouda
Leon Lan
Kevin Tierney
J. Park
Jinkyoo Park
56
10
0
21 Jun 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
38
9
0
15 Jun 2024
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Xuan Wu
Di Wang
Lijie Wen
Yubin Xiao
Chunguo Wu
Yuesong Wu
Chaoyu Yu
D. Maskell
You Zhou
70
4
0
01 Jun 2024
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics
Niki van Stein
Thomas Bäck
39
12
0
30 May 2024
Evolve Cost-aware Acquisition Functions Using Large Language Models
Evolve Cost-aware Acquisition Functions Using Large Language Models
Yiming Yao
Fei Liu
Ji Cheng
Qingfu Zhang
51
7
0
25 Apr 2024
AutoSAT: Automatically Optimize SAT Solvers via Large Language Models
AutoSAT: Automatically Optimize SAT Solvers via Large Language Models
Yiwen Sun
Xianyin Zhang
Shiyu Huang
Shaowei Cai
Bing-Zhen Zhang
Ke Wei
29
2
0
16 Feb 2024
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
322
4,077
0
24 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
364
8,495
0
28 Jan 2022
Neural Combinatorial Optimization with Reinforcement Learning
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
71
1,452
0
29 Nov 2016
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