Image de couverture de livre

PlatMetaX: An Integrated MATLAB platform for Meta-Black-Box Optimization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yang, Xu, Wang, Rui, Li, Kaiwen, Li, Wenhua, Zhang, Tao, He, Fujun
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Neural and Evolutionary Computing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

READY: Reward Discovery for Meta-Black-Box Optimization
par: Huang, Zechuan, et autres
Publié: (2026)

Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization
par: Ma, Zeyuan, et autres
Publié: (2024)

Detect and Act: Automated Dynamic Optimizer through Meta-Black-Box Optimization
par: Gao, Zijian, et autres
Publié: (2026)

Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study
par: Ma, Zeyuan, et autres
Publié: (2025)

Meta-Black-Box-Optimization through Offline Q-function Learning
par: Ma, Zeyuan, et autres
Publié: (2025)

Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization
par: Faldor, Maxence, et autres
Publié: (2025)

MetaBox-v2: A Unified Benchmark Platform for Meta-Black-Box Optimization
par: Ma, Zeyuan, et autres
Publié: (2025)

Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization
par: Ma, Zeyuan, et autres
Publié: (2024)

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA
par: Jin, Xiao, et autres
Publié: (2026)

Large Language Model Assisted Automated Algorithm Generation and Evolution via Meta-black-box optimization
par: Yang, Xu, et autres
Publié: (2025)

Instance Generation for Meta-Black-Box Optimization through Latent Space Reverse Engineering
par: Wang, Chen, et autres
Publié: (2025)

Task-free Adaptive Meta Black-box Optimization
par: Wang, Chao, et autres
Publié: (2026)

DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization
par: Guo, Hongshu, et autres
Publié: (2025)

Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model
par: Yang, Xu, et autres
Publié: (2025)

Reinforced In-Context Black-Box Optimization
par: Song, Lei, et autres
Publié: (2024)

Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning
par: Chen, Jiacheng, et autres
Publié: (2024)

Speeding-up Evolutionary Algorithms to solve Black-Box Optimization Problems
par: Echevarrieta, Judith, et autres
Publié: (2023)

On the Influence of the Feature Computation Budget on Per-Instance Algorithm Selection for Black-Box Optimization
par: van der Blom, Koen, et autres
Publié: (2026)

A Memetic Algorithm based on Variational Autoencoder for Black-Box Discrete Optimization with Epistasis among Parameters
par: Kato, Aoi, et autres
Publié: (2025)

EvoX: Meta-Evolution for Automated Discovery
par: Liu, Shu, et autres
Publié: (2026)

Position: Leverage Foundational Models for Black-Box Optimization
par: Song, Xingyou, et autres
Publié: (2024)

Meta-Black-Box Optimization with Bi-Space Landscape Analysis and Dual-Control Mechanism for SAEA
par: Du, Yukun, et autres
Publié: (2025)

Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning
par: Raymond, Christian, et autres
Publié: (2022)

Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings
par: Tan, Rong-Xi, et autres
Publié: (2025)

Meta-Black-Box Optimization Can Do Search Guidance for Expensive Constrained Multi-Objective Optimization
par: Du, Yukun, et autres
Publié: (2026)

Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization
par: Yang, Xu, et autres
Publié: (2025)

Topic Modelling Black Box Optimization
par: Akramov, Roman, et autres
Publié: (2025)

MO-SAE:Multi-Objective Stacked Autoencoders Optimization for Edge Anomaly Detection
par: Zhang, Lizhao, et autres
Publié: (2026)

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement
par: Xue, Ke, et autres
Publié: (2025)

WASHH: An Anchor-Aware Whale-Guided Selection Hyper-Heuristic for Continuous Optimization and SVC Configuration
par: Zhao, Yifu, et autres
Publié: (2026)

A Generative Neural Annealer for Black-Box Combinatorial Optimization
par: Zhang, Yuan-Hang, et autres
Publié: (2025)

Large Language Model as Meta-Surrogate for Data-Driven Many-Task Optimization: A Proof-of-Principle Study
par: Zhang, Xian-Rong, et autres
Publié: (2025)

A White-Box SVM Framework and its Swarm-Based Optimization for Supervision of Toothed Milling Cutter through Characterization of Spindle Vibrations
par: Deo, Tejas Y., et autres
Publié: (2021)

Multi-Fidelity Methods for Optimization: A Survey
par: Li, Ke, et autres
Publié: (2024)

Towards Lossless ANN-SNN Conversion under Ultra-Low Latency with Dual-Phase Optimization
par: Wang, Ziming, et autres
Publié: (2022)

Effective Predictive Modeling for Emergency Department Visits and Evaluating Exogenous Variables Impact: Using Explainable Meta-learning Gradient Boosting
par: Neshat, Mehdi, et autres
Publié: (2024)

Optimizing PM2.5 Forecasting Accuracy with Hybrid Meta-Heuristic and Machine Learning Models
par: Ghafariasl, Parviz, et autres
Publié: (2024)

Evolving Reservoirs for Meta Reinforcement Learning
par: Léger, Corentin, et autres
Publié: (2023)

Boosting Brain-inspired Path Integration Efficiency via Learning-based Replication of Continuous Attractor Neurodynamics
par: Ge, Zhangyu, et autres
Publié: (2025)

LLM-Meta-SR: In-Context Learning for Evolving Selection Operators in Symbolic Regression
par: Zhang, Hengzhe, et autres
Publié: (2025)