Guardado en:
| Autores principales: | LI, Minghao, Wang, Ruihang, Tan, Rui, Wen, Yonggang |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2512.10611 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models
por: Zhang, Rui, et al.
Publicado: (2024)
por: Zhang, Rui, et al.
Publicado: (2024)
Guiding Evolutionary AutoEncoder Training with Activation-Based Pruning Operators
por: Jorgensen, Steven, et al.
Publicado: (2025)
por: Jorgensen, Steven, et al.
Publicado: (2025)
Online Operator Design in Evolutionary Optimization for Flexible Job Shop Scheduling via Large Language Models
por: Liao, Rongjie, et al.
Publicado: (2025)
por: Liao, Rongjie, et al.
Publicado: (2025)
LEVI: Stronger Search Architectures Can Substitute for Larger LLMs in Evolutionary Search
por: Tanveer, Temoor
Publicado: (2026)
por: Tanveer, Temoor
Publicado: (2026)
EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning
por: Du, He, et al.
Publicado: (2025)
por: Du, He, et al.
Publicado: (2025)
Evolutionary Reinforcement Learning via Cooperative Coevolution
por: Hu, Chengpeng, et al.
Publicado: (2024)
por: Hu, Chengpeng, et al.
Publicado: (2024)
Optimal Synthesis of Finite State Machines with Universal Gates using Evolutionary Algorithm
por: Ullah, Noor, et al.
Publicado: (2024)
por: Ullah, Noor, et al.
Publicado: (2024)
A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving
por: Zhang, Yisong, et al.
Publicado: (2025)
por: Zhang, Yisong, et al.
Publicado: (2025)
Robust Dynamic Material Handling via Adaptive Constrained Evolutionary Reinforcement Learning
por: Hu, Chengpeng, et al.
Publicado: (2025)
por: Hu, Chengpeng, et al.
Publicado: (2025)
Can Large Language Models Be Trusted as Evolutionary Optimizers for Network-Structured Combinatorial Problems?
por: Zhao, Jie, et al.
Publicado: (2025)
por: Zhao, Jie, et al.
Publicado: (2025)
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects
por: Poyatos, Javier, et al.
Publicado: (2024)
por: Poyatos, Javier, et al.
Publicado: (2024)
Evolving Benchmark Functions to Compare Evolutionary Algorithms via Genetic Programming
por: He, Yifan, et al.
Publicado: (2024)
por: He, Yifan, et al.
Publicado: (2024)
Performance and Explainability Requirements of Evolutionary Algorithms in Real-World Physics-Informed Optimization
por: Stegherr, Helena, et al.
Publicado: (2026)
por: Stegherr, Helena, et al.
Publicado: (2026)
Efficient Training of Spiking Neural Networks by Spike-aware Data Pruning
por: Ma, Chenxiang, et al.
Publicado: (2025)
por: Ma, Chenxiang, et al.
Publicado: (2025)
Towards Robust and Accurate Myoelectric Controller Design based on Multi-objective Optimization using Evolutionary Computation
por: Shaikh, Ahmed Aqeel, et al.
Publicado: (2022)
por: Shaikh, Ahmed Aqeel, et al.
Publicado: (2022)
Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN
por: Ouyang, Kaichen, et al.
Publicado: (2024)
por: Ouyang, Kaichen, et al.
Publicado: (2024)
An Evolutionary Framework for Automatic Optimization Benchmark Generation via Large Language Models
por: Ono, Yuhiro, et al.
Publicado: (2026)
por: Ono, Yuhiro, et al.
Publicado: (2026)
Energy-Efficient Digital Design: A Comparative Study of Event-Driven and Clock-Driven Spiking Neurons
por: Marostica, Filippo, et al.
Publicado: (2025)
por: Marostica, Filippo, et al.
Publicado: (2025)
Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams
por: Amarasinghe, Pivithuru Thejan, et al.
Publicado: (2024)
por: Amarasinghe, Pivithuru Thejan, et al.
Publicado: (2024)
Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning
por: Ma, Zeyuan, et al.
Publicado: (2024)
por: Ma, Zeyuan, et al.
Publicado: (2024)
BuildEvo: Designing Building Energy Consumption Forecasting Heuristics via LLM-driven Evolution
por: Lin, Subin, et al.
Publicado: (2025)
por: Lin, Subin, et al.
Publicado: (2025)
Evolution Transformer: In-Context Evolutionary Optimization
por: Lange, Robert Tjarko, et al.
Publicado: (2024)
por: Lange, Robert Tjarko, et al.
Publicado: (2024)
Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization
por: Yang, Xu, et al.
Publicado: (2025)
por: Yang, Xu, et al.
Publicado: (2025)
Residual Learning Inspired Crossover Operator and Strategy Enhancements for Evolutionary Multitasking
por: Wang, Ruilin, et al.
Publicado: (2025)
por: Wang, Ruilin, 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)
por: Wu, Yue, et al.
Publicado: (2026)
Runtime Analysis for Permutation-based Evolutionary Algorithms
por: Doerr, Benjamin, et al.
Publicado: (2022)
por: Doerr, Benjamin, et al.
Publicado: (2022)
Evolutionary Preference Sampling for Pareto Set Learning
por: Ye, Rongguang, et al.
Publicado: (2024)
por: Ye, Rongguang, et al.
Publicado: (2024)
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)
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)
por: Xie, Lindong, et al.
Publicado: (2025)
Particle Swarm Optimization for Quantum Circuit Synthesis: Performance Analysis and Insights
por: Hidayat, Mirza Hizriyan Nubli, et al.
Publicado: (2025)
por: Hidayat, Mirza Hizriyan Nubli, et al.
Publicado: (2025)
Evolutionary Token-Level Prompt Optimization for Diffusion Models
por: Neto, Domício Pereira, et al.
Publicado: (2026)
por: Neto, Domício Pereira, et al.
Publicado: (2026)
Meta knowledge assisted Evolutionary Neural Architecture Search
por: Li, Yangyang, et al.
Publicado: (2025)
por: Li, Yangyang, et al.
Publicado: (2025)
Evolutionary Neural Architecture Search with Dual Contrastive Learning
por: Zhang, Xian-Rong, et al.
Publicado: (2025)
por: Zhang, Xian-Rong, et al.
Publicado: (2025)
Theoretical Analyses of Multiobjective Evolutionary Algorithms on Multimodal Objectives
por: Zheng, Weijie, et al.
Publicado: (2020)
por: Zheng, Weijie, et al.
Publicado: (2020)
Analyzing and Overcoming Local Optima in Complex Multi-Objective Optimization by Decomposition-Based Evolutionary Algorithms
por: Dong, Ting, et al.
Publicado: (2024)
por: Dong, Ting, et al.
Publicado: (2024)
MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection
por: Wang, Xubin, et al.
Publicado: (2024)
por: Wang, Xubin, et al.
Publicado: (2024)
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm
por: Liu, Dazhuang, et al.
Publicado: (2024)
por: Liu, Dazhuang, et al.
Publicado: (2024)
Evolutionary Optimization Trumps Adam Optimization on Embedding Space Exploration
por: Neto, Domício Pereira, et al.
Publicado: (2025)
por: Neto, Domício Pereira, et al.
Publicado: (2025)
RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning
por: Lian, Hongqiao, et al.
Publicado: (2024)
por: Lian, Hongqiao, et al.
Publicado: (2024)
Archive-based Single-Objective Evolutionary Algorithms for Submodular Optimization
por: Neumann, Frank, et al.
Publicado: (2024)
por: Neumann, Frank, et al.
Publicado: (2024)
Ejemplares similares
-
Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models
por: Zhang, Rui, et al.
Publicado: (2024) -
Guiding Evolutionary AutoEncoder Training with Activation-Based Pruning Operators
por: Jorgensen, Steven, et al.
Publicado: (2025) -
Online Operator Design in Evolutionary Optimization for Flexible Job Shop Scheduling via Large Language Models
por: Liao, Rongjie, et al.
Publicado: (2025) -
LEVI: Stronger Search Architectures Can Substitute for Larger LLMs in Evolutionary Search
por: Tanveer, Temoor
Publicado: (2026) -
EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning
por: Du, He, et al.
Publicado: (2025)