Analyzing the Expected Hitting Time of Evolutionary Computation-based Neural Architecture Search Algorithms
Fuente:
arXiv
Guardado en:
| Autores principales: | Lv, Zeqiong, Qian, Chao, Yen, Gary G., Sun, Yanan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2022
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A First Step Towards Runtime Analysis of Evolutionary Neural Architecture Search
por: Lv, Zeqiong, et al.
Publicado: (2024)
por: Lv, Zeqiong, et al.
Publicado: (2024)
Efficient Evaluation Methods for Neural Architecture Search: A Survey
por: Song, Xiaotian, et al.
Publicado: (2023)
por: Song, Xiaotian, et al.
Publicado: (2023)
Runtime Analysis of Evolutionary NAS for Multiclass Classification
por: Lv, Zeqiong, et al.
Publicado: (2025)
por: Lv, Zeqiong, et al.
Publicado: (2025)
Estimate Hitting Time by Hitting Probability for Elitist Evolutionary Algorithms
por: He, Jun, et al.
Publicado: (2025)
por: He, Jun, et al.
Publicado: (2025)
Fast Estimations of Hitting Time of Elitist Evolutionary Algorithms from Fitness Levels
por: He, Jun, et al.
Publicado: (2023)
por: He, Jun, et al.
Publicado: (2023)
A First Running Time Analysis of the Strength Pareto Evolutionary Algorithm 2 (SPEA2)
por: Ren, Shengjie, et al.
Publicado: (2024)
por: Ren, Shengjie, et al.
Publicado: (2024)
A Multi-objective Evolutionary Algorithm Based on Bi-population with Uniform Sampling for Neural Architecture Search
por: Xue, Yu, et al.
Publicado: (2026)
por: Xue, Yu, et al.
Publicado: (2026)
G-EvoNAS: Evolutionary Neural Architecture Search Based on Network Growth
por: Zou, Juan, et al.
Publicado: (2024)
por: Zou, Juan, et al.
Publicado: (2024)
An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms
por: Bian, Chao, et al.
Publicado: (2024)
por: Bian, Chao, et al.
Publicado: (2024)
Multi-population GAN Training: Analyzing Co-Evolutionary Algorithms
por: Casas, Walter P., et al.
Publicado: (2025)
por: Casas, Walter P., et al.
Publicado: (2025)
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)
Multi-Objective Evolutionary Neural Architecture Search for Recurrent Neural Networks
por: Booysen, Reinhard, et al.
Publicado: (2024)
por: Booysen, Reinhard, et al.
Publicado: (2024)
Knowledge-aware Evolutionary Graph Neural Architecture Search
por: Wang, Chao, et al.
Publicado: (2024)
por: Wang, Chao, et al.
Publicado: (2024)
An Ensemble of Evolutionary Algorithms With Both Crisscross Search and Sparrow Search for Processing Inferior Individuals
por: Du, Mingxuan, et al.
Publicado: (2026)
por: Du, Mingxuan, et al.
Publicado: (2026)
Neural Architecture Search of Time-to-First-Spike-Coded Spiking Neural Networks for Efficient Eye-based Emotion Recognition
por: Liu, Qianhui, et al.
Publicado: (2025)
por: Liu, Qianhui, et al.
Publicado: (2025)
Efficient Multiplayer Battle Game Optimizer for Adversarial Robust Neural Architecture Search
por: Zhong, Rui, et al.
Publicado: (2024)
por: Zhong, Rui, et al.
Publicado: (2024)
Analyzing the Runtime of the Gene-pool Optimal Mixing Evolutionary Algorithm (GOMEA) on the Concatenated Trap Function
por: Qiao, Yukai, et al.
Publicado: (2024)
por: Qiao, Yukai, et al.
Publicado: (2024)
Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization
por: Ren, Shengjie, et al.
Publicado: (2024)
por: Ren, Shengjie, et al.
Publicado: (2024)
Theoretical and Empirical Analysis of Lehmer Codes to Search Permutation Spaces with Evolutionary Algorithms
por: Ma, Yuxuan, et al.
Publicado: (2025)
por: Ma, Yuxuan, et al.
Publicado: (2025)
An Efficient Evolutionary Algorithm for Diversified Top-k (Weight) Clique Search Problems
por: Zheng, Jiongzhi, et al.
Publicado: (2024)
por: Zheng, Jiongzhi, et al.
Publicado: (2024)
SONATA: Self-adaptive Evolutionary Framework for Hardware-aware Neural Architecture Search
por: Bouzidi, Halima, et al.
Publicado: (2024)
por: Bouzidi, Halima, et al.
Publicado: (2024)
Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms
por: Bian, Chao, et al.
Publicado: (2023)
por: Bian, Chao, et al.
Publicado: (2023)
CR-BLEA: Contrastive Ranking for Adaptive Resource Allocation in Bilevel Evolutionary Algorithms
por: Xu, Dejun, et al.
Publicado: (2025)
por: Xu, Dejun, et al.
Publicado: (2025)
Language Model Evolutionary Algorithms for Recommender Systems: Benchmarks and Algorithm Comparisons
por: Liu, Jiao, et al.
Publicado: (2024)
por: Liu, Jiao, et al.
Publicado: (2024)
Evolutionary Spiking Neural Networks: A Survey
por: Shen, Shuaijie, et al.
Publicado: (2024)
por: Shen, Shuaijie, et al.
Publicado: (2024)
A Modality-Aware Cooperative Co-Evolutionary Framework for Multimodal Graph Neural Architecture Search
por: Wang, Sixuan, et al.
Publicado: (2025)
por: Wang, Sixuan, et al.
Publicado: (2025)
Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization
por: Ren, Shengjie, et al.
Publicado: (2025)
por: Ren, Shengjie, et al.
Publicado: (2025)
Migrant Resettlement by Evolutionary Multi-objective Optimization
por: Liu, Dan-Xuan, et al.
Publicado: (2023)
por: Liu, Dan-Xuan, et al.
Publicado: (2023)
Cascaded Large-Scale TSP Solving with Unified Neural Guidance: Bridging Local and Population-based Search
por: Lv, Haoze, et al.
Publicado: (2025)
por: Lv, Haoze, 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)
An Experimental Approach for Running-Time Estimation of Multi-objective Evolutionary Algorithms in Numerical Optimization
por: Huang, Han, et al.
Publicado: (2025)
por: Huang, Han, et al.
Publicado: (2025)
A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization
por: Ren, Shengjie, et al.
Publicado: (2025)
por: Ren, Shengjie, et al.
Publicado: (2025)
Large Language Model Assisted Adversarial Robustness Neural Architecture Search
por: Zhong, Rui, et al.
Publicado: (2024)
por: Zhong, Rui, et al.
Publicado: (2024)
Discovering Physics-Informed Neural Networks Model for Solving Partial Differential Equations through Evolutionary Computation
por: Zhang, Bo, et al.
Publicado: (2024)
por: Zhang, Bo, et al.
Publicado: (2024)
An Efficient Dynamic Resource Allocation Framework for Evolutionary Bilevel Optimization
por: Xu, Dejun, et al.
Publicado: (2024)
por: Xu, Dejun, et al.
Publicado: (2024)
An Evolutionary Algorithm with Probabilistic Annealing for Large-scale Sparse Multi-objective Optimization
por: Shao, Shuai, et al.
Publicado: (2026)
por: Shao, Shuai, et al.
Publicado: (2026)
An Efficient Evolutionary Algorithm for Few-for-Many Optimization
por: Shang, Ke, et al.
Publicado: (2026)
por: Shang, Ke, et al.
Publicado: (2026)
Optimizing Hearthstone Agents using an Evolutionary Algorithm
por: García-Sánchez, Pablo, et al.
Publicado: (2024)
por: García-Sánchez, Pablo, et al.
Publicado: (2024)
Generalized Heavy-tailed Mutation for Evolutionary Algorithms
por: Eremeev, Anton V., et al.
Publicado: (2026)
por: Eremeev, Anton V., et al.
Publicado: (2026)
Ejemplares similares
-
A First Step Towards Runtime Analysis of Evolutionary Neural Architecture Search
por: Lv, Zeqiong, et al.
Publicado: (2024) -
Efficient Evaluation Methods for Neural Architecture Search: A Survey
por: Song, Xiaotian, et al.
Publicado: (2023) -
Runtime Analysis of Evolutionary NAS for Multiclass Classification
por: Lv, Zeqiong, et al.
Publicado: (2025) -
Estimate Hitting Time by Hitting Probability for Elitist Evolutionary Algorithms
por: He, Jun, et al.
Publicado: (2025) -
Fast Estimations of Hitting Time of Elitist Evolutionary Algorithms from Fitness Levels
por: He, Jun, et al.
Publicado: (2023)