Cover Image

Black-Box Optimization of Mixed Binary-Continuous Variables: Challenges and Opportunities in Evolutionary Model Merging

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Niloy, Md. Robiul Islam
Format:	Preprint
Published:	2026
Subjects:	Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

Evolutionary Optimization of Model Merging Recipes
by: Akiba, Takuya, et al.
Published: (2024)

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

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

EvoGM: Learning to Merge LLMs via Evolutionary Generative Optimization
by: Jiang, Tao, et al.
Published: (2026)

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

Floorplanning of VLSI by Mixed-Variable Optimization
by: Sun, Jian, et al.
Published: (2024)

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

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

A Detection Region Method-Based Evolutionary Algorithm for Binary Constrained Multiobjective Optimization
by: Huang, Weixiong, et al.
Published: (2024)

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

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)

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization
by: Wang, Zhiyuan, et al.
Published: (2026)

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

Personalized Language Models via Privacy-Preserving Evolutionary Model Merging
by: Kim, Kyuyoung, et al.
Published: (2025)

Large Language Models as Evolutionary Optimizers
by: Liu, Shengcai, et al.
Published: (2023)

Meta-Black-Box Optimization Can Do Search Guidance for Expensive Constrained Multi-Objective Optimization
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)

Distributed Evolution Strategies with Multi-Level Learning for Large-Scale Black-Box Optimization
by: Duan, Qiqi, et al.
Published: (2023)

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

Towards Evolutionary Optimization Using the Ising Model
by: Klüttermann, Simon
Published: (2025)

A Novel Population Initialization Method via Adaptive Experience Transfer for General-Purpose Binary Evolutionary Optimization
by: Wang, Zhiyuan, et al.
Published: (2025)

Accelerating Black-Box Bilevel Optimization with Rank-Based Upper-Level Value Function Approximation
by: Ong, Marc, et al.
Published: (2026)

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

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

Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations
by: Duan, Qiqi, et al.
Published: (2023)

Evolutionary Generative Optimization: Towards Fully Data-Driven Evolutionary Optimization via Generative Learning
by: Jiang, Tao, et al.
Published: (2025)

Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables
by: Neumann, Frank, et al.
Published: (2021)

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

Evolutionary Multi-Objective Diversity Optimization
by: Do, Anh Viet, et al.
Published: (2024)

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

Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization
by: Wang, Zeyi, et al.
Published: (2024)

Exploratory Landscape Analysis for Mixed-Variable Problems
by: Prager, Raphael Patrick, et al.
Published: (2024)

An Efficient Evolutionary Algorithm for Few-for-Many Optimization
by: Shang, Ke, et al.
Published: (2026)

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)

Wasserstein Evolution : Evolutionary Optimization as Phase Transition
by: Ouyang, Kaichen, et al.
Published: (2025)

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

Migrant Resettlement by Evolutionary Multi-objective Optimization
by: Liu, Dan-Xuan, et al.
Published: (2023)