Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Fei, Tong, Xialiang, Yuan, Mingxuan, Lin, Xi, Luo, Fu, Wang, Zhenkun, Lu, Zhichao, Zhang, Qingfu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models
by: Zhang, Rui, et al.
Published: (2024)
by: Zhang, Rui, et al.
Published: (2024)
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver
by: Zhou, Changliang, et al.
Published: (2024)
by: Zhou, Changliang, et al.
Published: (2024)
Large Language Model for Multi-objective Evolutionary Optimization
by: Liu, Fei, et al.
Published: (2023)
by: Liu, Fei, et al.
Published: (2023)
Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search
by: Liu, Fei, et al.
Published: (2025)
by: Liu, Fei, et al.
Published: (2025)
Multimodal LLM-assisted Evolutionary Search for Programmatic Control Policies
by: Hu, Qinglong, et al.
Published: (2025)
by: Hu, Qinglong, 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)
by: Zheng, Zhi, et al.
Published: (2024)
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
by: Luo, Fu, et al.
Published: (2023)
by: Luo, Fu, et al.
Published: (2023)
AutoTurb: Using Large Language Models for Automatic Algebraic Model Discovery of Turbulence Closure
by: Zhang, Yu, et al.
Published: (2024)
by: Zhang, Yu, et al.
Published: (2024)
CALM: Co-evolution of Algorithms and Language Model for Automatic Heuristic Design
by: Huang, Ziyao, et al.
Published: (2025)
by: Huang, Ziyao, et al.
Published: (2025)
CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models
by: Guo, Ping, et al.
Published: (2024)
by: Guo, Ping, et al.
Published: (2024)
Evolving Interdependent Operators with Large Language Models for Multi-Objective Combinatorial Optimization
by: Qiu, Junhao, et al.
Published: (2026)
by: Qiu, Junhao, et al.
Published: (2026)
CDEoH: Category-Driven Automatic Algorithm Design With Large Language Models
by: Wang, Yu-Nian, et al.
Published: (2026)
by: Wang, Yu-Nian, et al.
Published: (2026)
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables
by: Guo, Ping, et al.
Published: (2024)
by: Guo, Ping, et al.
Published: (2024)
Learning to Reduce Search Space for Generalizable Neural Routing Solver
by: Zhou, Changliang, et al.
Published: (2025)
by: Zhou, Changliang, et al.
Published: (2025)
Evolve Cost-aware Acquisition Functions Using Large Language Models
by: Yao, Yiming, et al.
Published: (2024)
by: Yao, Yiming, et al.
Published: (2024)
Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models
by: Wu, Xuan, et al.
Published: (2025)
by: Wu, Xuan, et al.
Published: (2025)
Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms
by: Yin, Haoran, et al.
Published: (2024)
by: Yin, Haoran, et al.
Published: (2024)
An Efficient Evolutionary Algorithm for Few-for-Many Optimization
by: Shang, Ke, et al.
Published: (2026)
by: Shang, Ke, et al.
Published: (2026)
HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs
by: Dat, Pham Vu Tuan, et al.
Published: (2024)
by: Dat, Pham Vu Tuan, et al.
Published: (2024)
SpikingMamba: Towards Energy-Efficient Large Language Models via Knowledge Distillation from Mamba
by: Huang, Yulong, et al.
Published: (2025)
by: Huang, Yulong, et al.
Published: (2025)
AHD Agent: Agentic Reinforcement Learning for Automatic Heuristic Design
by: Lv, Haoze, et al.
Published: (2026)
by: Lv, Haoze, et al.
Published: (2026)
DHEvo: Data-Algorithm Based Heuristic Evolution for Generalizable MILP Solving
by: Zhang, Zhihao, et al.
Published: (2025)
by: Zhang, Zhihao, et al.
Published: (2025)
EvoDR: Evolving Dispatching Rules via Large Language Model for Dynamic Flexible Assembly Flow Shop Scheduling
by: Qiu, Junhao, et al.
Published: (2026)
by: Qiu, Junhao, et al.
Published: (2026)
QUBE: Enhancing Automatic Heuristic Design via Quality-Uncertainty Balanced Evolution
by: Chen, Zijie, et al.
Published: (2024)
by: Chen, Zijie, et al.
Published: (2024)
Dealing with Structure Constraints in Evolutionary Pareto Set Learning
by: Lin, Xi, et al.
Published: (2023)
by: Lin, Xi, et al.
Published: (2023)
Automatic Design of Optimization Test Problems with Large Language Models
by: Achtelik, Wojciech, et al.
Published: (2026)
by: Achtelik, Wojciech, et al.
Published: (2026)
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
by: Lin, Xi, et al.
Published: (2024)
by: Lin, Xi, et al.
Published: (2024)
Smooth Tchebycheff Scalarization for Multi-Objective Optimization
by: Lin, Xi, et al.
Published: (2024)
by: Lin, Xi, et al.
Published: (2024)
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
by: Ye, Haoran, et al.
Published: (2024)
by: Ye, Haoran, et al.
Published: (2024)
Large Language Model-Driven Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization
by: Xie, Lindong, et al.
Published: (2025)
by: Xie, Lindong, et al.
Published: (2025)
An Ensemble of Evolutionary Algorithms With Both Crisscross Search and Sparrow Search for Processing Inferior Individuals
by: Du, Mingxuan, et al.
Published: (2026)
by: Du, Mingxuan, et al.
Published: (2026)
BuildEvo: Designing Building Energy Consumption Forecasting Heuristics via LLM-driven Evolution
by: Lin, Subin, et al.
Published: (2025)
by: Lin, Subin, et al.
Published: (2025)
Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms
by: van Stein, Niki, et al.
Published: (2025)
by: van Stein, Niki, et al.
Published: (2025)
Evolution of Optimization Algorithms for Global Placement via Large Language Models
by: Yao, Xufeng, et al.
Published: (2025)
by: Yao, Xufeng, et al.
Published: (2025)
Evolution of Benchmark: Black-Box Optimization Benchmark Design through Large Language Model
by: Wang, Chen, et al.
Published: (2026)
by: Wang, Chen, et al.
Published: (2026)
Large Language Model Assisted Automated Algorithm Generation and Evolution via Meta-black-box optimization
by: Yang, Xu, et al.
Published: (2025)
by: Yang, Xu, et al.
Published: (2025)
Survey on Neural Routing Solvers
by: Ba, Yunpeng, et al.
Published: (2026)
by: Ba, Yunpeng, et al.
Published: (2026)
Large-scale Benchmarking of Metaphor-based Optimization Heuristics
by: Vermetten, Diederick, et al.
Published: (2024)
by: Vermetten, Diederick, et al.
Published: (2024)
Leveraging Symbolic Regression for Heuristic Design in the Traveling Thief Problem
by: Ni, Andrew, et al.
Published: (2024)
by: Ni, Andrew, et al.
Published: (2024)
Towards free-response paradigm: a theory on decision-making in spiking neural networks
by: Zhu, Zhichao, et al.
Published: (2024)
by: Zhu, Zhichao, et al.
Published: (2024)
Similar Items
-
Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models
by: Zhang, Rui, et al.
Published: (2024) -
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver
by: Zhou, Changliang, et al.
Published: (2024) -
Large Language Model for Multi-objective Evolutionary Optimization
by: Liu, Fei, et al.
Published: (2023) -
Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search
by: Liu, Fei, et al.
Published: (2025) -
Multimodal LLM-assisted Evolutionary Search for Programmatic Control Policies
by: Hu, Qinglong, et al.
Published: (2025)