Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models

v1v2 (latest)

Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models

19 May 2025

ArXiv (abs)PDF HTML

Papers citing "Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models"

19 / 19 papers shown

Title
LLM-Meta-SR: Learning to Evolve Selection Operators for Symbolic Regression Hengzhe Zhang Qi Chen Bing Xue Mengjie Zhang 54 0 0 24 May 2025
GraphThought: Graph Combinatorial Optimization with Thought Generation Zixiao Huang Lifeng Guo Wenhao Li Junjie Sheng Chuyun Shen Haosheng Chen Bo Jin Changhong Lu Xiangfeng Wang LRM AI4CE 22 0 0 17 Feb 2025
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 225 7 0 01 Jun 2024
LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics Niki van Stein Thomas Bäck 79 17 0 30 May 2024
LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation Zeyuan Ma Hongshu Guo Jiacheng Chen Guojun Peng Zhiguang Cao Yining Ma Yue-Jiao Gong SyDa ALM 63 21 0 02 Mar 2024
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization Fei Liu Xi Lin Zhenkun Wang Qingfu Zhang Xialiang Tong Mingxuan Yuan 63 24 0 23 Feb 2024
Large Language Models to Enhance Bayesian Optimization Tennison Liu Nicolás Astorga Nabeel Seedat M. Schaar 128 56 0 06 Feb 2024
Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap Xingyu Wu Sheng-hao Wu Jibin Wu Liang Feng Kay Chen Tan ELM 104 70 0 18 Jan 2024
Distilling Autoregressive Models to Obtain High-Performance Non-Autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed Yubin Xiao Di Wang Boyang Albert Li Mingzhao Wang Xuan Wu Changliang Zhou You Zhou 92 18 0 19 Dec 2023
Retrieval-Augmented Generation for Large Language Models: A Survey Yunfan Gao Yun Xiong Xinyu Gao Kangxiang Jia Jinliu Pan Yuxi Bi Yi Dai Jiawei Sun Meng Wang Haofen Wang 3DV RALM 189 1,776 1 18 Dec 2023
LLM Performance Predictors are good initializers for Architecture Search Ganesh Jawahar Muhammad Abdul-Mageed L. Lakshmanan Dujian Ding LRM 104 20 0 25 Oct 2023
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization Fu Luo Xi Lin Fei Liu Qingfu Zhang Zhenkun Wang 87 71 0 12 Oct 2023
Stronger NAS with Weaker Predictors Junru Wu Xiyang Dai Dongdong Chen Yinpeng Chen Mengchen Liu Ye Yu Zhangyang Wang Zicheng Liu Mei Chen Lu Yuan OOD 75 43 0 21 Feb 2021
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning Yeong-Dae Kwon Jinho Choo Byoungjip Kim Iljoo Yoon Youngjune Gwon Seungjai Min 94 333 0 30 Oct 2020
ReNAS:Relativistic Evaluation of Neural Architecture Search Yixing Xu Yunhe Wang Avishkar Bhoopchand Christopher Mattern A. Grabska-Barwinska Chunjing Xu Chang Xu 91 85 0 30 Sep 2019
NAS-Bench-101: Towards Reproducible Neural Architecture Search Chris Ying Aaron Klein Esteban Real Eric Christiansen Kevin Patrick Murphy Frank Hutter 80 683 0 25 Feb 2019
Random Search and Reproducibility for Neural Architecture Search Liam Li Ameet Talwalkar OOD 78 725 0 20 Feb 2019
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon Yoshua Bengio Andrea Lodi Antoine Prouvost 155 1,389 0 15 Nov 2018
Designing Neural Network Architectures using Reinforcement Learning Bowen Baker O. Gupta Nikhil Naik Ramesh Raskar 115 1,471 0 07 Nov 2016