Imagen de Portada

Large Language Model as Meta-Surrogate for Data-Driven Many-Task Optimization: A Proof-of-Principle Study

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Xian-Rong, Gong, Yue-Jiao, Zhong, Yuan-Ting, Huang, Ting, Zhang, Jun
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence Neural and Evolutionary Computing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Offline Multi-Task Multi-Objective Data-Driven Evolutionary Algorithm with Language Surrogate Model and Implicit Q-Learning
por: Zhang, Xian-Rong, et al.
Publicado: (2025)

Island-Based Evolutionary Computation with Diverse Surrogates and Adaptive Knowledge Transfer for High-Dimensional Data-Driven Optimization
por: Zhang, Xian-Rong, et al.
Publicado: (2025)

GeM-EA: A Generative and Meta-learning Enhanced Evolutionary Algorithm for Streaming Data-Driven Optimization
por: Wu, Yue, et al.
Publicado: (2026)

Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study
por: Ma, Zeyuan, et al.
Publicado: (2025)

Surrogate Ensemble in Expensive Multi-Objective Optimization via Deep Q-Learning
por: Wu, Yuxin, et al.
Publicado: (2026)

COBRA++: Enhanced COBRA Optimizer with Augmented Surrogate Pool and Reinforced Surrogate Selection
por: Yu, Zipei, et al.
Publicado: (2026)

Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution
por: Guo, Hongshu, et al.
Publicado: (2024)

Evolutionary Neural Architecture Search with Dual Contrastive Learning
por: Zhang, Xian-Rong, et al.
Publicado: (2025)

Large Language Model-Driven Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization
por: Xie, Lindong, et al.
Publicado: (2025)

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

Detect and Act: Automated Dynamic Optimizer through Meta-Black-Box Optimization
por: Gao, Zijian, et al.
Publicado: (2026)

RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning
por: Lian, Hongqiao, et al.
Publicado: (2024)

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

Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
por: Ma, Zeyuan, et al.
Publicado: (2024)

READY: Reward Discovery for Meta-Black-Box Optimization
por: Huang, Zechuan, et al.
Publicado: (2026)

Multi-Task Surrogate-Assisted Search with Bayesian Competitive Knowledge Transfer for Expensive Optimization
por: Lu, Yi, et al.
Publicado: (2025)

Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization
por: Ma, Zeyuan, et al.
Publicado: (2024)

Meta-Black-Box-Optimization through Offline Q-function Learning
por: Ma, Zeyuan, et al.
Publicado: (2025)

Accurate Peak Detection in Multimodal Optimization via Approximated Landscape Learning
por: Ma, Zeyuan, et al.
Publicado: (2025)

Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization
por: Guo, Hongshu, et al.
Publicado: (2025)

An Efficient Evolutionary Algorithm for Few-for-Many Optimization
por: Shang, Ke, et al.
Publicado: (2026)

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

Surrogate-Assisted Search with Competitive Knowledge Transfer for Expensive Optimization
por: Xue, Xiaoming, et al.
Publicado: (2024)

Multiplayer Battle Game-Inspired Optimizer for Complex Optimization Problems
por: Xu, Yuefeng, et al.
Publicado: (2023)

A Novel Two-Phase Cooperative Co-evolution Framework for Large-Scale Global Optimization with Complex Overlapping
por: Qiu, Wenjie, et al.
Publicado: (2025)

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

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

A RankNet-Inspired Surrogate-Assisted Hybrid Metaheuristic for Expensive Coverage Optimization
por: Wu, Tongyu, et al.
Publicado: (2025)

Instance Generation for Meta-Black-Box Optimization through Latent Space Reverse Engineering
por: Wang, Chen, et al.
Publicado: (2025)

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

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

Efficient Multiplayer Battle Game Optimizer for Adversarial Robust Neural Architecture Search
por: Zhong, Rui, et al.
Publicado: (2024)

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

A Quantum-Driven Evolutionary Framework for Solving High-Dimensional Sharpe Ratio Portfolio Optimization
por: Yu, Mingyang, et al.
Publicado: (2026)

A Methodology for Effective Surrogate Learning in Complex Optimization
por: Harada, Tomohiro, et al.
Publicado: (2026)

Learnable Evolutionary Multi-Objective Combinatorial Optimization via Sequence-to-Sequence Model
por: Huang, Jiaxiang, et al.
Publicado: (2024)

Runtime Analysis of the SMS-EMOA for Many-Objective Optimization
por: Zheng, Weijie, et al.
Publicado: (2023)

Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning
por: Chen, Jiacheng, et al.
Publicado: (2024)

Mapping Literature Landscapes with Data-Driven Discovery: A Case Study on MOEA/D
por: Huang, Mingyu, et al.
Publicado: (2024)

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