Cover Image

CMA-ES with Adaptive Reevaluation for Multiplicative Noise

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Uchida, Kento, Nishihara, Kenta, Shirakawa, Shinichi
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

Natural Gradient Interpretation of Rank-One Update in CMA-ES
by: Hamano, Ryoki, et al.
Published: (2024)

Covariance Matrix Adaptation Evolution Strategy for Low Effective Dimensionality
by: Uchida, Kento, et al.
Published: (2024)

Adaptive Stochastic Natural Gradient Method for Safe Optimization on Binary Space
by: Uchida, Kento, et al.
Published: (2026)

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

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)

Sampling in CMA-ES: Low Numbers of Low Discrepancy Points
by: de Nobel, Jacob, 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)

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

Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers
by: Ashizawa, Rin, et al.
Published: (2025)

Surrogate Benchmarks for Model Merging Optimization
by: Akizuki, Rio, et al.
Published: (2025)

Improving CMA-ES Convergence Speed, Efficiency, and Reliability in Noisy Robot Optimization Problems
by: Martin, Russell M., 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)

cmaes: A Simple yet Practical Python Library for CMA-ES
by: Nomura, Masahiro, et al.
Published: (2024)

Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes
by: Nikolikj, Ana, et al.
Published: (2025)

Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization
by: Guo, Hongshu, 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)

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

An Adaptive Re-evaluation Method for Evolution Strategy under Additive Noise
by: Dinu, Catalin-Viorel, et al.
Published: (2024)

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion
by: Li, Chen, et al.
Published: (2024)

Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks
by: Saiin, Ryuji, et al.
Published: (2023)

Mutation Strength Adaptation of the $(μ/μ_I, λ)$-ES for Large Population Sizes on the Sphere Function
by: Omeradzic, Amir, et al.
Published: (2024)

Evolutionary Algorithms Are Significantly More Robust to Noise When They Ignore It
by: Antipov, Denis, et al.
Published: (2024)

SNNF: An SNN-based Near-Sensor Noise Filter for Dynamic Vision Sensors
by: Yang, Yahan, et al.
Published: (2026)

Exploring the Noise Resilience of Successor Features and Predecessor Features Algorithms in One and Two-Dimensional Environments
by: Lee, Hyunsu
Published: (2023)

Evolutionary Algorithm for Chance Constrained Quadratic Multiple Knapsack Problem
by: Perera, Kokila Kasuni, et al.
Published: (2025)

Multiple-gain Estimation for Running Time of Evolutionary Combinatorial Optimization
by: Huang, Min, et al.
Published: (2025)

ABCO: Adaptive Bacterial Colony Optimisation
by: Kogam, Barisi, et al.
Published: (2025)

Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics
by: Xue, Peng, et al.
Published: (2025)

Effective Adaptive Mutation Rates for Program Synthesis
by: Ni, Andrew, et al.
Published: (2024)

Adaptive Spiking Neurons for Vision and Language Modeling
by: Zhou, Chenlin, et al.
Published: (2026)

Bridging Expressivity and Scalability with Adaptive Unitary SSMs
by: Karuvally, Arjun, et al.
Published: (2025)

Adaptive Exploration in Lenia with Intrinsic Multi-Objective Ranking
by: Lorantos, Niko, et al.
Published: (2025)

Anytime Analysis on BinVal: Adaptive Parameters Help
by: Kötzing, Timo, et al.
Published: (2026)