Cover Image

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nikolikj, Ana, Muñoz, Mario Andrés, Tuba, Eva, Eftimov, Tome
Format:	Preprint
Published:	2025
Subjects:	Neural and Evolutionary Computing Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Customized Exploration of Landscape Features Driving Multi-Objective Combinatorial Optimization Performance
by: Nikolikj, Ana, et al.
Published: (2025)

Quantifying the Impact of Modules and Their Interactions in the PSO-X Framework
by: Camacho-Villalón, Christian L., et al.
Published: (2026)

Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks
by: Nikolikj, Ana, et al.
Published: (2024)

Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances
by: Nikolikj, Ana, et al.
Published: (2023)

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

ClustOpt: A Clustering-based Approach for Representing and Visualizing the Search Dynamics of Numerical Metaheuristic Optimization Algorithms
by: Cenikj, Gjorgjina, et al.
Published: (2025)

Comparing Optimization Algorithms Through the Lens of Search Behavior Analysis
by: Cenikj, Gjorgjina, et al.
Published: (2025)

Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarks
by: Nikolikj, Ana, et al.
Published: (2024)

Adaptive Estimation of the Number of Algorithm Runs in Stochastic Optimization
by: Eftimov, Tome, et al.
Published: (2025)

Warm Starting of CMA-ES for Contextual Optimization Problems
by: Sekino, Yuta, et al.
Published: (2025)

A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories
by: van Stein, Niki, et al.
Published: (2024)

CMA-ES for Safe Optimization
by: Uchida, Kento, et al.
Published: (2024)

CMA-ES with Adaptive Reevaluation for Multiplicative Noise
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)

Sampling in CMA-ES: Low Numbers of Low Discrepancy Points
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)

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

Cascading CMA-ES Instances for Generating Input-diverse Solution Batches
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)

Spark: Modular Spiking Neural Networks
by: Franco, Mario, et al.
Published: (2026)

Multiobjective Optimization Analysis for Finding Infrastructure-as-Code Deployment Configurations
by: Osaba, Eneko, et al.
Published: (2024)

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

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

Fitness Landscape of Large Language Model-Assisted Automated Algorithm Search
by: Liu, Fei, et al.
Published: (2025)

Improving Planning with Large Language Models: A Modular Agentic Architecture
by: Webb, Taylor, et al.
Published: (2023)

Modular Growth of Hierarchical Networks: Efficient, General, and Robust Curriculum Learning
by: Hamidi, Mani, et al.
Published: (2024)

Empirical Investigation into Configuring Echo State Networks for Representative Benchmark Problem Domains
by: Weborg, Brooke R., et al.
Published: (2025)

CatCMA : Stochastic Optimization for Mixed-Category Problems
by: Hamano, Ryoki, et al.
Published: (2024)

CogniSNN: Enabling Neuron-Expandability, Pathway-Reusability, and Dynamic-Configurability with Random Graph Architectures in Spiking Neural Networks
by: Huang, Yongsheng, et al.
Published: (2025)

Analyzing Internal Activity and Robustness of SNNs Across Neuron Parameter Space
by: Mazurek, Szymon, et al.
Published: (2025)

Visualizing Multimodality in Combinatorial Search Landscapes
by: Sánchez-Díaz, Xavier F. C., et al.
Published: (2025)

Applications of Nature-Inspired Metaheuristic Algorithms for Tackling Optimization Problems Across Disciplines
by: Cui, Elvis Han, et al.
Published: (2023)

Linear Ordering Problem: Time for a Change
by: Fagiolo, Fabrizio, et al.
Published: (2026)

Application of the Brain Drain Optimization Algorithm to the N-Queens Problem
by: Jolfaei, Sahar Ramezani, et al.
Published: (2025)

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

Sliding Window 3-Objective Pareto Optimization for Problems with Chance Constraints
by: Neumann, Frank, et al.
Published: (2024)

Evolutionary Biparty Multiobjective UAV Path Planning: Problems and Empirical Comparisons
by: Chen, Kesheng, et al.
Published: (2026)

CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points
by: Uchida, Kento, et al.
Published: (2024)

An Explainable Reconfiguration-Based Optimization Algorithm for Industrial and Reliability-Redundancy Allocation Problems
by: Chauhan, Dikshit, et al.
Published: (2025)

LLM Driven Design of Continuous Optimization Problems with Controllable High-level Properties
by: Skvorc, Urban, et al.
Published: (2026)