Cover Image

When Large Language Model Meets Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Sen, Yang, Kaixiang, Qi, Sheng, Wang, Rui
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Detection Region Method-Based Evolutionary Algorithm for Binary Constrained Multiobjective Optimization
by: Huang, Weixiong, et al.
Published: (2024)

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

Fully Tensorized GPU-accelerated Multi-population Evolutionary Algorithm for Constrained Multiobjective Optimization Problems
by: Huang, Weixiong, et al.
Published: (2025)

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

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

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

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

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

When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges
by: Wang, Chao, et al.
Published: (2024)

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

Decoupling Constraint from Two Direction in Evolutionary Constrained Multi-objective Optimization
by: Sun, Ruiqing, et al.
Published: (2025)

Ranking Constraints via Topological Dual-Directional Search in Evolutionary Multi-Objective Optimization
by: Sun, Ruiqing, et al.
Published: (2026)

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

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

Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models
by: Wu, Xuan, et al.
Published: (2025)

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

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

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

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

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model
by: Yang, Xu, et al.
Published: (2025)

Large Language Model-Based Benchmarking Experiment Settings for Evolutionary Multi-Objective Optimization
by: Pang, Lie Meng, et al.
Published: (2025)

Diffusion-based Evolutionary Optimization for 3D Multi-Objective Molecular Generation
by: Sun, Ruiqing, et al.
Published: (2025)

Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations
by: Duan, Qiqi, et al.
Published: (2023)

SpikingMamba: Towards Energy-Efficient Large Language Models via Knowledge Distillation from Mamba
by: Huang, Yulong, et al.
Published: (2025)

When Spiking neural networks meet temporal attention image decoding and adaptive spiking neuron
by: Qiu, Xuerui, et al.
Published: (2024)

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

Evolutionary Optimization of Model Merging Recipes
by: Akiba, Takuya, et al.
Published: (2024)

Introducing Competitive Mechanism to Differential Evolution for Numerical Optimization
by: Zhong, Rui, et al.
Published: (2024)

Distributed Evolution Strategies with Multi-Level Learning for Large-Scale Black-Box Optimization
by: Duan, Qiqi, et al.
Published: (2023)

Octopus Inspired Optimization (OIO): A Hierarchical Framework for Navigating Protein Fitness Landscapes
by: Wang, Xu, et al.
Published: (2024)

Large Language Model-Driven Full-Component Evolution of Adaptive Large Neighborhood Search
by: Yu, Shaohua, et al.
Published: (2026)

Large-scale Benchmarking of Metaphor-based Optimization Heuristics
by: Vermetten, Diederick, et al.
Published: (2024)

PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization
by: Duan, Qiqi, et al.
Published: (2022)

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

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

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

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

Against Opacity: Explainable AI and Large Language Models for Effective Digital Advertising
by: Yang, Qi, et al.
Published: (2025)

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

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