CMA-ES with Radial Basis Function Surrogate for Black-Box Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Khouzani, Farshid Farhadi, Mirzaei, Abdolreza, La Plante, Paul, Gewali, Laxmi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CMA-ES for Safe Optimization
by: Uchida, Kento, et al.
Published: (2024)
by: Uchida, Kento, et al.
Published: (2024)
CatCMA with Margin for Single- and Multi-Objective Mixed-Variable Black-Box Optimization
by: Hamano, Ryoki, et al.
Published: (2025)
by: Hamano, Ryoki, et al.
Published: (2025)
Warm Starting of CMA-ES for Contextual Optimization Problems
by: Sekino, Yuta, et al.
Published: (2025)
by: Sekino, Yuta, et al.
Published: (2025)
Marginal Probability-Based Integer Handling for CMA-ES Tackling Single-and Multi-Objective Mixed-Integer Black-Box Optimization
by: Hamano, Ryoki, et al.
Published: (2022)
by: Hamano, Ryoki, et al.
Published: (2022)
CMA-ES with Adaptive Reevaluation for Multiplicative Noise
by: Uchida, Kento, et al.
Published: (2024)
by: Uchida, Kento, et al.
Published: (2024)
Improving CMA-ES Convergence Speed, Efficiency, and Reliability in Noisy Robot Optimization Problems
by: Martin, Russell M., et al.
Published: (2026)
by: Martin, Russell M., et al.
Published: (2026)
Sampling in CMA-ES: Low Numbers of Low Discrepancy Points
by: de Nobel, Jacob, et al.
Published: (2024)
by: de Nobel, Jacob, et al.
Published: (2024)
Natural Gradient Interpretation of Rank-One Update in CMA-ES
by: Hamano, Ryoki, et al.
Published: (2024)
by: Hamano, Ryoki, et al.
Published: (2024)
CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points
by: Uchida, Kento, et al.
Published: (2024)
by: Uchida, Kento, et al.
Published: (2024)
Cascading CMA-ES Instances for Generating Input-diverse Solution Batches
by: Santoni, Maria Laura, et al.
Published: (2025)
by: Santoni, Maria Laura, et al.
Published: (2025)
RCMAES: A Robust CMA-ES Variant for CEC2026 Competition
by: Muzakka, Khoirul Faiq, et al.
Published: (2026)
by: Muzakka, Khoirul Faiq, et al.
Published: (2026)
CMA-ES with Learning Rate Adaptation
by: Nomura, Masahiro, et al.
Published: (2024)
by: Nomura, Masahiro, et al.
Published: (2024)
Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization
by: Guo, Hongshu, et al.
Published: (2025)
by: Guo, Hongshu, et al.
Published: (2025)
Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study
by: Ma, Zeyuan, et al.
Published: (2025)
by: Ma, Zeyuan, et al.
Published: (2025)
CatCMA : Stochastic Optimization for Mixed-Category Problems
by: Hamano, Ryoki, et al.
Published: (2024)
by: Hamano, Ryoki, et al.
Published: (2024)
Generative Evolutionary Strategy For Black-Box Optimizations
by: Park, Changhwi
Published: (2022)
by: Park, Changhwi
Published: (2022)
Accelerating Black-Box Bilevel Optimization with Rank-Based Upper-Level Value Function Approximation
by: Ong, Marc, et al.
Published: (2026)
by: Ong, Marc, et al.
Published: (2026)
Improving population size adapting CMA-ES algorithm on step-size blow-up in weakly-structured multimodal functions
by: Fernando, Chandula, et al.
Published: (2025)
by: Fernando, Chandula, et al.
Published: (2025)
Modified CMA-ES Algorithm for Multi-Modal Optimization: Incorporating Niching Strategies and Dynamic Adaptation Mechanism
by: Karunarathne, Wathsala, et al.
Published: (2024)
by: Karunarathne, Wathsala, et al.
Published: (2024)
Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes
by: Nikolikj, Ana, et al.
Published: (2025)
by: Nikolikj, Ana, et al.
Published: (2025)
cmaes: A Simple yet Practical Python Library for CMA-ES
by: Nomura, Masahiro, et al.
Published: (2024)
by: Nomura, Masahiro, et al.
Published: (2024)
Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA
by: Jin, Xiao, et al.
Published: (2026)
by: Jin, Xiao, et al.
Published: (2026)
On the Structural (Dis)Agreement of Landscape Representations in Black-Box Optimization
by: Gjorgjieva, Sara, et al.
Published: (2026)
by: Gjorgjieva, Sara, et al.
Published: (2026)
Learning Mixture-of-Experts for General-Purpose Black-Box Discrete Optimization
by: Liu, Shengcai, et al.
Published: (2024)
by: Liu, Shengcai, et al.
Published: (2024)
How Sequential Algorithm Portfolios can benefit Black Box Optimization
by: Dinu, Catalin-Viorel, et al.
Published: (2026)
by: Dinu, Catalin-Viorel, et al.
Published: (2026)
Meta-Black-Box Optimization Can Do Search Guidance for Expensive Constrained Multi-Objective Optimization
by: Du, Yukun, et al.
Published: (2026)
by: Du, Yukun, et al.
Published: (2026)
A Standardized Benchmark Set of Clustering Problem Instances for Comparing Black-Box Optimizers
by: Vermetten, Diederick, et al.
Published: (2025)
by: Vermetten, Diederick, et al.
Published: (2025)
Illuminating the Black Box of Reservoir Computing
by: Metzner, Claus, et al.
Published: (2025)
by: Metzner, Claus, et al.
Published: (2025)
Benchmarking Parameter Control Methods in Differential Evolution for Mixed-Integer Black-Box Optimization
by: Tanabe, Ryoji
Published: (2024)
by: Tanabe, Ryoji
Published: (2024)
Distributed Evolution Strategies with Multi-Level Learning for Large-Scale Black-Box Optimization
by: Duan, Qiqi, et al.
Published: (2023)
by: Duan, Qiqi, et al.
Published: (2023)
Evolution of Benchmark: Black-Box Optimization Benchmark Design through Large Language Model
by: Wang, Chen, et al.
Published: (2026)
by: Wang, Chen, et al.
Published: (2026)
COBRA++: Enhanced COBRA Optimizer with Augmented Surrogate Pool and Reinforced Surrogate Selection
by: Yu, Zipei, et al.
Published: (2026)
by: Yu, Zipei, et al.
Published: (2026)
Meta-Black-Box Optimization with Bi-Space Landscape Analysis and Dual-Control Mechanism for SAEA
by: Du, Yukun, et al.
Published: (2025)
by: Du, Yukun, et al.
Published: (2025)
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization
by: Duan, Qiqi, et al.
Published: (2022)
by: Duan, Qiqi, et al.
Published: (2022)
Black-Box Optimization of Mixed Binary-Continuous Variables: Challenges and Opportunities in Evolutionary Model Merging
by: Niloy, Md. Robiul Islam
Published: (2026)
by: Niloy, Md. Robiul Islam
Published: (2026)
Univariate Radial Basis Function Layers: Brain-inspired Deep Neural Layers for Low-Dimensional Inputs
by: Jost, Daniel, et al.
Published: (2023)
by: Jost, Daniel, et al.
Published: (2023)
Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations
by: Duan, Qiqi, et al.
Published: (2023)
by: Duan, Qiqi, et al.
Published: (2023)
Pretrained Optimization Model for Zero-Shot Black Box Optimization
by: Li, Xiaobin, et al.
Published: (2024)
by: Li, Xiaobin, et al.
Published: (2024)
A GPU Implementation of Multi-Guiding Spark Fireworks Algorithm for Efficient Black-Box Neural Network Optimization
by: Meng, Xiangrui, et al.
Published: (2025)
by: Meng, Xiangrui, et al.
Published: (2025)
A Neuromorphic Model of Learning Meaningful Sequences with Long-Term Memory
by: Iyer, Laxmi R., et al.
Published: (2025)
by: Iyer, Laxmi R., et al.
Published: (2025)
Similar Items
-
CMA-ES for Safe Optimization
by: Uchida, Kento, et al.
Published: (2024) -
CatCMA with Margin for Single- and Multi-Objective Mixed-Variable Black-Box Optimization
by: Hamano, Ryoki, et al.
Published: (2025) -
Warm Starting of CMA-ES for Contextual Optimization Problems
by: Sekino, Yuta, et al.
Published: (2025) -
Marginal Probability-Based Integer Handling for CMA-ES Tackling Single-and Multi-Objective Mixed-Integer Black-Box Optimization
by: Hamano, Ryoki, et al.
Published: (2022) -
CMA-ES with Adaptive Reevaluation for Multiplicative Noise
by: Uchida, Kento, et al.
Published: (2024)