:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Fei, Liu, Yilu, Zhang, Qingfu, Tong, Xialiang, Yuan, Mingxuan
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2508.03082
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
by: Liu, Fei, et al.
Published: (2024)

TS-EoH: An Edge Server Task Scheduling Algorithm Based on Evolution of Heuristic
by: Yatong, Wang, et al.
Published: (2024)

Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search
by: Liu, Fei, et al.
Published: (2025)

Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization
by: Liu, Fei, et al.
Published: (2024)

Enhancing CVRP Solver through LLM-driven Automatic Heuristic Design
by: Xie, Zhuoliang, et al.
Published: (2026)

Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models
by: Zhang, Rui, et al.
Published: (2024)

Multi-objective Evolution of Heuristic Using Large Language Model
by: Yao, Shunyu, et al.
Published: (2024)

ARS: Automatic Routing Solver with Large Language Models
by: Li, Kai, et al.
Published: (2025)

Prompt Learning for Generalized Vehicle Routing
by: Liu, Fei, et al.
Published: (2024)

Large Language Model for Multi-objective Evolutionary Optimization
by: Liu, Fei, et al.
Published: (2023)

Self-Improved Learning for Scalable Neural Combinatorial Optimization
by: Luo, Fu, et al.
Published: (2024)

Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver
by: Zhou, Changliang, et al.
Published: (2024)

Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
by: Lin, Xi, et al.
Published: (2024)

LLM4AD: A Platform for Algorithm Design with Large Language Model
by: Liu, Fei, et al.
Published: (2024)

A Systematic Survey on Large Language Models for Algorithm Design
by: Liu, Fei, et al.
Published: (2024)

TIDE: Tuning-Integrated Dynamic Evolution for LLM-Based Automated Heuristic Design
by: Chen, Chentong, et al.
Published: (2026)

Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction
by: Qin, Zongyue, et al.
Published: (2025)

Automated Heuristic Design for Unit Commitment Using Large Language Models
by: Lv, Junjin, et al.
Published: (2025)

Robust Heuristic Algorithm Design with LLMs
by: Karimi, Pantea, et al.
Published: (2025)

UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems
by: Zheng, Zhi, et al.
Published: (2024)

FoMEMO: Towards Foundation Models for Expensive Multi-objective Optimization
by: Yao, Yiming, et al.
Published: (2025)

Latent Heuristic Search: Continuous Optimization for Automated Algorithm Design
by: Ahmed, Cheikh, et al.
Published: (2026)

Back to the Beginning of Heuristic Design: Bridging Code and Knowledge with LLMs
by: Kiet, Nguyen Viet Tuan, et al.
Published: (2026)

Experience-Guided Reflective Co-Evolution of Prompts and Heuristics for Automatic Algorithm Design
by: Liu, Yihong, et al.
Published: (2025)

Planning of Heuristics: Strategic Planning on Large Language Models with Monte Carlo Tree Search for Automating Heuristic Optimization
by: Wang, Hui, et al.
Published: (2025)

Fine-tuning Large Language Model for Automated Algorithm Design
by: Liu, Fei, et al.
Published: (2025)

DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems
by: Zheng, Zhi, et al.
Published: (2024)

DyACE: Dynamic Algorithm Co-evolution for Online Automated Heuristic Design with Large Language Model
by: Lu, Guidong, et al.
Published: (2026)

RoCo: Role-Based LLMs Collaboration for Automatic Heuristic Design
by: Xu, Jiawei, et al.
Published: (2025)

PathWise: Planning through World Model for Automated Heuristic Design via Self-Evolving LLMs
by: Gungordu, Oguzhan, et al.
Published: (2026)

Multimodal LLM-assisted Evolutionary Search for Programmatic Control Policies
by: Hu, Qinglong, et al.
Published: (2025)

Systematic Analysis of LLM Contributions to Planning: Solver, Verifier, Heuristic
by: Li, Haoming, et al.
Published: (2024)

Bidirectional Bounded-Suboptimal Heuristic Search with Consistent Heuristics
by: Shperberg, Shahaf S., et al.
Published: (2025)

Game-Theoretic Co-Evolution for LLM-Based Heuristic Discovery
by: Ke, Xinyi, et al.
Published: (2026)

In-the-loop Hyper-Parameter Optimization for LLM-Based Automated Design of Heuristics
by: van Stein, Niki, et al.
Published: (2024)

Complex LLM Planning via Automated Heuristics Discovery
by: Ling, Hongyi, et al.
Published: (2025)

Boosting Universal LLM Reward Design through Heuristic Reward Observation Space Evolution
by: Heng, Zen Kit, et al.
Published: (2025)

Generalizable Heuristic Generation Through LLMs with Meta-Optimization
by: Shi, Yiding, et al.
Published: (2025)

AHD Agent: Agentic Reinforcement Learning for Automatic Heuristic Design
by: Lv, Haoze, et al.
Published: (2026)

BEAM: Bi-level Memory-adaptive Algorithmic Evolution for LLM-Powered Heuristic Design
by: Xiang, Chuyang, et al.
Published: (2026)