:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ong, Marc, Akimoto, Youhei
Format:	Preprint
Published:	2026
Subjects:	Neural and Evolutionary Computing
Online Access:	https://arxiv.org/abs/2604.02888
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Theoretical Analysis of Explicit Averaging and Novel Sign Averaging in Comparison-Based Search
by: Morinaga, Daiki, et al.
Published: (2024)

Feature selection based on cluster assumption in PU learning
by: Uchikoshi, Motonobu, et al.
Published: (2025)

Challenges of Interaction in Optimizing Mixed Categorical-Continuous Variables
by: Akimoto, Youhei, et al.
Published: (2025)

CMA-ES with Learning Rate Adaptation
by: Nomura, Masahiro, et al.
Published: (2024)

Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm
by: Hamano, Ryoki, et al.
Published: (2024)

Learning Mixture-of-Experts for General-Purpose Black-Box Discrete Optimization
by: Liu, Shengcai, et al.
Published: (2024)

CMA-ES with Radial Basis Function Surrogate for Black-Box Optimization
by: Khouzani, Farshid Farhadi, et al.
Published: (2025)

Distributed Evolution Strategies with Multi-Level Learning for Large-Scale Black-Box Optimization
by: Duan, Qiqi, 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)

Generative Evolutionary Strategy For Black-Box Optimizations
by: Park, Changhwi
Published: (2022)

On the Structural (Dis)Agreement of Landscape Representations in Black-Box Optimization
by: Gjorgjieva, Sara, et al.
Published: (2026)

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

How Sequential Algorithm Portfolios can benefit Black Box Optimization
by: Dinu, Catalin-Viorel, et al.
Published: (2026)

Pareto Set Prediction Assisted Bilevel Multi-objective Optimization
by: Wang, Bing, et al.
Published: (2024)

Meta-Black-Box Optimization Can Do Search Guidance for Expensive Constrained Multi-Objective Optimization
by: Du, Yukun, et al.
Published: (2026)

Illuminating the Black Box of Reservoir Computing
by: Metzner, Claus, et al.
Published: (2025)

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

Benchmarking Parameter Control Methods in Differential Evolution for Mixed-Integer Black-Box Optimization
by: Tanabe, Ryoji
Published: (2024)

A Standardized Benchmark Set of Clustering Problem Instances for Comparing Black-Box Optimizers
by: Vermetten, Diederick, et al.
Published: (2025)

CatCMA with Margin for Single- and Multi-Objective Mixed-Variable Black-Box Optimization
by: Hamano, Ryoki, et al.
Published: (2025)

More Efficient Real-Valued Gray-Box Optimization through Incremental Distribution Estimation in RV-GOMEA
by: Scholman, Renzo J., et al.
Published: (2025)

Black-Box Optimization of Mixed Binary-Continuous Variables: Challenges and Opportunities in Evolutionary Model Merging
by: Niloy, Md. Robiul Islam
Published: (2026)

Pretrained Optimization Model for Zero-Shot Black Box Optimization
by: Li, Xiaobin, et al.
Published: (2024)

Meta-Black-Box Optimization with Bi-Space Landscape Analysis and Dual-Control Mechanism for SAEA
by: Du, Yukun, et al.
Published: (2025)

READY: Reward Discovery for Meta-Black-Box Optimization
by: Huang, Zechuan, et al.
Published: (2026)

A GPU Implementation of Multi-Guiding Spark Fireworks Algorithm for Efficient Black-Box Neural Network Optimization
by: Meng, Xiangrui, et al.
Published: (2025)

Learning to Act and Cooperate for Distributed Black-Box Consensus Optimization
by: Qin, Zi-Bo, et al.
Published: (2026)

Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization
by: Ma, Zeyuan, et al.
Published: (2024)

Detect and Act: Automated Dynamic Optimizer through Meta-Black-Box Optimization
by: Gao, Zijian, et al.
Published: (2026)

OPAL: Operator-Programmed Algorithms for Landscape-Aware Black-Box Optimization
by: Lian, Junbo Jacob, et al.
Published: (2025)

TESO Tabu Enhanced Simulation Optimization for Noisy Black Box Problems
by: Soykan, Bulent, et al.
Published: (2025)

Speeding-up Evolutionary Algorithms to solve Black-Box Optimization Problems
by: Echevarrieta, Judith, et al.
Published: (2023)

Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study
by: Ma, Zeyuan, et al.
Published: (2025)

Meta-Black-Box-Optimization through Offline Q-function Learning
by: Ma, Zeyuan, et al.
Published: (2025)

Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization
by: Faldor, Maxence, et al.
Published: (2025)

DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization
by: Guo, Hongshu, et al.
Published: (2025)

Reinforced In-Context Black-Box Optimization
by: Song, Lei, et al.
Published: (2024)

Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization
by: Liu, Jiao, et al.
Published: (2023)

PlatMetaX: An Integrated MATLAB platform for Meta-Black-Box Optimization
by: Yang, Xu, et al.
Published: (2025)

Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning
by: Chen, Jiacheng, et al.
Published: (2024)