Adaptive Stochastic Natural Gradient Method for Safe Optimization on Binary Space
Fuente:
arXiv
Saved in:
| Main Authors: | Uchida, Kento, Hamano, Ryoki, Nomura, Masahiro, Shirakawa, Shinichi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| 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 : Stochastic Optimization for Mixed-Category Problems
by: Hamano, Ryoki, et al.
Published: (2024)
by: Hamano, Ryoki, 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)
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)
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)
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)
Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm
by: Hamano, Ryoki, et al.
Published: (2024)
by: Hamano, Ryoki, et al.
Published: (2024)
Diversified Residual Symbolic Regression
by: Ikeda, Koki, et al.
Published: (2026)
by: Ikeda, Koki, et al.
Published: (2026)
CMA-ES with Adaptive Reevaluation for Multiplicative Noise
by: Uchida, Kento, et al.
Published: (2024)
by: Uchida, Kento, et al.
Published: (2024)
Warm Starting of CMA-ES for Contextual Optimization Problems
by: Sekino, Yuta, et al.
Published: (2025)
by: Sekino, Yuta, et al.
Published: (2025)
On the Generalization Bounds of Symbolic Regression with Genetic Programming
by: Nomura, Masahiro, et al.
Published: (2026)
by: Nomura, Masahiro, et al.
Published: (2026)
cmaes: A Simple yet Practical Python Library for CMA-ES
by: Nomura, Masahiro, et al.
Published: (2024)
by: Nomura, Masahiro, et al.
Published: (2024)
Covariance Matrix Adaptation Evolution Strategy for Low Effective Dimensionality
by: Uchida, Kento, et al.
Published: (2024)
by: Uchida, Kento, et al.
Published: (2024)
Multi-start Optimization Method via Scalarization based on Target Point-based Tchebycheff Distance for Multi-objective Optimization
by: Nagakane, Kota, et al.
Published: (2025)
by: Nagakane, Kota, et al.
Published: (2025)
Surrogate Benchmarks for Model Merging Optimization
by: Akizuki, Rio, et al.
Published: (2025)
by: Akizuki, Rio, et al.
Published: (2025)
Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers
by: Ashizawa, Rin, et al.
Published: (2025)
by: Ashizawa, Rin, et al.
Published: (2025)
A Novel Population Initialization Method via Adaptive Experience Transfer for General-Purpose Binary Evolutionary Optimization
by: Wang, Zhiyuan, et al.
Published: (2025)
by: Wang, Zhiyuan, et al.
Published: (2025)
Adaptive Estimation of the Number of Algorithm Runs in Stochastic Optimization
by: Eftimov, Tome, et al.
Published: (2025)
by: Eftimov, Tome, et al.
Published: (2025)
A Memetic Algorithm based on Variational Autoencoder for Black-Box Discrete Optimization with Epistasis among Parameters
by: Kato, Aoi, et al.
Published: (2025)
by: Kato, Aoi, et al.
Published: (2025)
A Detection Region Method-Based Evolutionary Algorithm for Binary Constrained Multiobjective Optimization
by: Huang, Weixiong, et al.
Published: (2024)
by: Huang, Weixiong, et al.
Published: (2024)
CMA-ES with Learning Rate Adaptation
by: Nomura, Masahiro, et al.
Published: (2024)
by: Nomura, Masahiro, et al.
Published: (2024)
A Lattice-based Method for Optimization in Continuous Spaces with Genetic Algorithms
by: Harris, Cameron D., et al.
Published: (2024)
by: Harris, Cameron D., et al.
Published: (2024)
BCDDO: Binary Child Drawing Development Optimization
by: Issa, Abubakr S., et al.
Published: (2023)
by: Issa, Abubakr S., et al.
Published: (2023)
Synchronized Stepwise Control of Firing and Learning Thresholds in a Spiking Randomly Connected Neural Network toward Hardware Implementation
by: Nomura, Kumiko, et al.
Published: (2024)
by: Nomura, Kumiko, et al.
Published: (2024)
DS-ATGO: Dual-Stage Synergistic Learning via Forward Adaptive Threshold and Backward Gradient Optimization for Spiking Neural Networks
by: Jiang, Jiaqiang, et al.
Published: (2025)
by: Jiang, Jiaqiang, et al.
Published: (2025)
Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics
by: Jiang, Jiaqiang, et al.
Published: (2025)
by: Jiang, Jiaqiang, et al.
Published: (2025)
Optimization of Discrete Parameters Using the Adaptive Gradient Method and Directed Evolution
by: Beinarovich, Andrei, et al.
Published: (2024)
by: Beinarovich, Andrei, et al.
Published: (2024)
General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization
by: Wang, Zhiyuan, et al.
Published: (2026)
by: Wang, Zhiyuan, et al.
Published: (2026)
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)
Evolving Generalizable Parallel Algorithm Portfolios for Binary Optimization Problems via Domain-Agnostic Instance Generation
by: Wang, Zhiyuan, et al.
Published: (2025)
by: Wang, Zhiyuan, et al.
Published: (2025)
Gradient Descent, Stochastic Optimization, and Other Tales
by: Lu, Jun
Published: (2022)
by: Lu, Jun
Published: (2022)
UCPO: A Universal Constrained Combinatorial Optimization Method via Preference Optimization
by: Fang, Zhanhong, et al.
Published: (2025)
by: Fang, Zhanhong, et al.
Published: (2025)
An Instance Space Analysis of Constrained Multi-Objective Optimization Problems
by: Alsouly, Hanan, et al.
Published: (2022)
by: Alsouly, Hanan, et al.
Published: (2022)
An Adaptive Re-evaluation Method for Evolution Strategy under Additive Noise
by: Dinu, Catalin-Viorel, et al.
Published: (2024)
by: Dinu, Catalin-Viorel, et al.
Published: (2024)
A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization
by: Ren, Shengjie, et al.
Published: (2025)
by: Ren, Shengjie, et al.
Published: (2025)
Enhancing Decision Space Diversity in Multi-Objective Evolutionary Optimization for the Diet Problem
by: Nascimento, Gustavo V., et al.
Published: (2025)
by: Nascimento, Gustavo V., et al.
Published: (2025)
An Adaptive Balance Search Based Complementary Heterogeneous Particle Swarm Optimization Architecture
by: Zhang, Zhenxing, et al.
Published: (2024)
by: Zhang, Zhenxing, et al.
Published: (2024)
Bio-Inspired Neuron Synapse Optimization for Adaptive Learning and Smart Decision-Making
by: Singh, Sreeja, et al.
Published: (2025)
by: Singh, Sreeja, et al.
Published: (2025)
A Fitness-assignment Method for Evolutionary Constrained Multi-objective Optimization
by: Ajani, Oladayo S., et al.
Published: (2023)
by: Ajani, Oladayo S., et al.
Published: (2023)
Overcoming Binary Adversarial Optimisation with Competitive Coevolution
by: Lehre, Per Kristian, et al.
Published: (2024)
by: Lehre, Per Kristian, et al.
Published: (2024)
Similar Items
-
CMA-ES for Safe Optimization
by: Uchida, Kento, et al.
Published: (2024) -
CatCMA : Stochastic Optimization for Mixed-Category Problems
by: Hamano, Ryoki, et al.
Published: (2024) -
Natural Gradient Interpretation of Rank-One Update in CMA-ES
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) -
CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points
by: Uchida, Kento, et al.
Published: (2024)