Large Language Model-Driven Full-Component Evolution of Adaptive Large Neighborhood Search

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yu, Shaohua, Chen, Tianyu, Liu, Linyan, Puchinger, Jakob
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Neural and Evolutionary Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization
di: Wang, Zeyi, et al.
Pubblicazione: (2024)

Large Neighborhood and Hybrid Genetic Search for Inventory Routing Problems
di: Zhao, Jingyi, et al.
Pubblicazione: (2025)

Large Language Model Assisted Adversarial Robustness Neural Architecture Search
di: Zhong, Rui, et al.
Pubblicazione: (2024)

Large Language Model Aided Multi-objective Evolutionary Algorithm: a Low-cost Adaptive Approach
di: Liu, Wanyi, et al.
Pubblicazione: (2024)

Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms
di: Yin, Haoran, et al.
Pubblicazione: (2024)

Evolution of Benchmark: Black-Box Optimization Benchmark Design through Large Language Model
di: Wang, Chen, et al.
Pubblicazione: (2026)

Large Language Models as Evolutionary Optimizers
di: Liu, Shengcai, et al.
Pubblicazione: (2023)

Optimizing Photonic Structures with Large Language Model Driven Algorithm Discovery
di: Yin, Haoran, et al.
Pubblicazione: (2025)

Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms
di: van Stein, Niki, et al.
Pubblicazione: (2025)

Learning-Assisted Multi-Operator Variable Neighborhood Search for Urban Cable Routing
di: Liu, Wei, et al.
Pubblicazione: (2025)

Large Language Model Assisted Automated Algorithm Generation and Evolution via Meta-black-box optimization
di: Yang, Xu, et al.
Pubblicazione: (2025)

Evolution of Optimization Algorithms for Global Placement via Large Language Models
di: Yao, Xufeng, et al.
Pubblicazione: (2025)

CUDA-Accelerated Soft Robot Neural Evolution with Large Language Model Supervision
di: Zhang, Lechen
Pubblicazione: (2024)

CDEoH: Category-Driven Automatic Algorithm Design With Large Language Models
di: Wang, Yu-Nian, et al.
Pubblicazione: (2026)

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

Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models
di: Huang, Beichen, et al.
Pubblicazione: (2024)

Cascaded Large-Scale TSP Solving with Unified Neural Guidance: Bridging Local and Population-based Search
di: Lv, Haoze, et al.
Pubblicazione: (2025)

Autonomous Multi-Objective Optimization Using Large Language Model
di: Huang, Yuxiao, et al.
Pubblicazione: (2024)

When Large Language Model Meets Optimization
di: Huang, Sen, et al.
Pubblicazione: (2024)

Large Language Models as Particle Swarm Optimizers
di: Shinohara, Yamato, et al.
Pubblicazione: (2025)

Towards Automated Knowledge Transfer in Evolutionary Multitasking via Large Language Models
di: Lyu, Xuebin, et al.
Pubblicazione: (2024)

Diversifying Toxicity Search in Large Language Models Through Speciation
di: Shelar, Onkar, et al.
Pubblicazione: (2026)

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

Leveraging Large Language Model to Generate a Novel Metaheuristic Algorithm with CRISPE Framework
di: Zhong, Rui, et al.
Pubblicazione: (2024)

Evolving Interdependent Operators with Large Language Models for Multi-Objective Combinatorial Optimization
di: Qiu, Junhao, et al.
Pubblicazione: (2026)

REvolve: Reward Evolution with Large Language Models using Human Feedback
di: Hazra, Rishi, et al.
Pubblicazione: (2024)

ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
di: Ye, Haoran, et al.
Pubblicazione: (2024)

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

Large Language Models for Tuning Evolution Strategies
di: Kramer, Oliver
Pubblicazione: (2024)

Automatic Design of Optimization Test Problems with Large Language Models
di: Achtelik, Wojciech, et al.
Pubblicazione: (2026)

Explaining Genetic Programming Trees using Large Language Models
di: Maddigan, Paula, et al.
Pubblicazione: (2024)

Deep Insights into Automated Optimization with Large Language Models and Evolutionary Algorithms
di: Yu, He, et al.
Pubblicazione: (2024)

Large Language Models as Surrogate Models in Evolutionary Algorithms: A Preliminary Study
di: Hao, Hao, et al.
Pubblicazione: (2024)

LLM4CMO: Large Language Model-aided Algorithm Design for Constrained Multiobjective Optimization
di: Chen, Zhen-Song, et al.
Pubblicazione: (2025)

ToxSearch: Evolving Prompts for Toxicity Search in Large Language Models
di: Shelar, Onkar, et al.
Pubblicazione: (2025)

Large Language Models As Evolution Strategies
di: Lange, Robert Tjarko, et al.
Pubblicazione: (2024)

LLM-POET: Evolving Complex Environments using Large Language Models
di: Aki, Fuma, et al.
Pubblicazione: (2024)

An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms
di: Custode, Leonardo Lucio, et al.
Pubblicazione: (2024)

EvoDR: Evolving Dispatching Rules via Large Language Model for Dynamic Flexible Assembly Flow Shop Scheduling
di: Qiu, Junhao, et al.
Pubblicazione: (2026)

Towards Explainable Evolution Strategies with Large Language Models
di: Baumann, Jill, et al.
Pubblicazione: (2024)