Cover Image

Differential Evolution for Grassmann Manifold Optimization: A Projection Approach

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Lesniewski, Andrew
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control Computer Vision and Pattern Recognition Machine Learning Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimization of Discrete Parameters Using the Adaptive Gradient Method and Directed Evolution
by: Beinarovich, Andrei, et al.
Published: (2024)

Maximum Dispersion, Maximum Concentration: Enhancing the Quality of MOP Solutions
by: Moreira, Gladston, et al.
Published: (2025)

A Composite Decomposition Method for Large-Scale Global Optimization
by: Tian, Maojiang, et al.
Published: (2024)

Gradient Descent, Stochastic Optimization, and Other Tales
by: Lu, Jun
Published: (2022)

A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions
by: Tschernutter, Daniel, et al.
Published: (2024)

Limiting Network Size within Finite Bounds for Optimization
by: Pinto, Linu, et al.
Published: (2019)

Machine Learning-Enhanced Ant Colony Optimization for Column Generation
by: Xu, Hongjie, et al.
Published: (2024)

Empirical Evaluation of No Free Lunch Violations in Permutation-Based Optimization
by: Sroka, Grzegorz
Published: (2026)

Towards Resilient and Sustainable Global Industrial Systems: An Evolutionary-Based Approach
by: Jirkovský, Václav, et al.
Published: (2025)

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
by: Luo, Fu, et al.
Published: (2023)

Tight Convergence Rate Bounds for Optimization Under Power Law Spectral Conditions
by: Velikanov, Maksim, et al.
Published: (2022)

Lean and Mean Adaptive Optimization via Subset-Norm and Subspace-Momentum with Convergence Guarantees
by: Nguyen, Thien Hang, et al.
Published: (2024)

QUIVER: Cost-Aware Adaptive Preference Querying in Surrogate-Assisted Evolutionary Multi-Objective Optimization
by: Burnat, Florian A. D.
Published: (2026)

Projection-based Adversarial Attack using Physics-in-the-Loop Optimization for Monocular Depth Estimation
by: Kusakabe, Takeru, et al.
Published: (2025)

Scaling of hardware-compatible perturbative training algorithms
by: Oripov, Bakhrom G., et al.
Published: (2025)

Training Non-Differentiable Networks via Optimal Transport
by: Le, An T.
Published: (2026)

Optimizing Feature Selection for Binary Classification with Noisy Labels: A Genetic Algorithm Approach
by: Imani, Vandad, et al.
Published: (2024)

Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks
by: Hong, Jinyung, et al.
Published: (2023)

Enhanced Innovized Repair Operator for Evolutionary Multi- and Many-objective Optimization
by: Mittal, Sukrit, et al.
Published: (2020)

Robust Differential Evolution via Nonlinear Population Size Reduction and Adaptive Restart: The ARRDE Algorithm
by: Muzakka, Khoirul Faiq, et al.
Published: (2025)

The late-stage training dynamics of (stochastic) subgradient descent on homogeneous neural networks
by: Schechtman, Sholom, et al.
Published: (2025)

Availability of Perfect Decomposition in Statistical Linkage Learning for Unitation-based Function Concatenations
by: Prusik, Michal, et al.
Published: (2025)

Evolutionary Retrofitting
by: Videau, Mathurin, et al.
Published: (2024)

Understand the Effectiveness of Shortcuts through the Lens of DCA
by: Sun, Youran, et al.
Published: (2024)

Computationally Efficient Optimisation of Elbow-Type Draft Tube Using Neural Network Surrogates
by: Sikirica, Ante, et al.
Published: (2024)

EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
by: Bliek, Laurens, et al.
Published: (2021)

HoughToRadon Transform: New Neural Network Layer for Features Improvement in Projection Space
by: Zhabitskaya, Alexandra, et al.
Published: (2024)

Learning Evolution via Optimization Knowledge Adaptation
by: Wang, Chao, et al.
Published: (2025)

A Multi-Branched Radial Basis Network Approach to Predicting Complex Chaotic Behaviours
by: Sinha, Aarush
Published: (2024)

Gradient Projection onto Historical Descent Directions for Communication-Efficient Federated Learning
by: Descours, Arnaud, et al.
Published: (2025)

PSO and the Traveling Salesman Problem: An Intelligent Optimization Approach
by: Araújo, Kael Silva, et al.
Published: (2025)

Quality-Diversity Optimization as Multi-Objective Optimization
by: Lin, Xi, et al.
Published: (2026)

A Bandit Approach with Evolutionary Operators for Model Selection
by: Brégère, Margaux, et al.
Published: (2024)

Neuro-LIFT: A Neuromorphic, LLM-based Interactive Framework for Autonomous Drone FlighT at the Edge
by: Joshi, Amogh, et al.
Published: (2025)

A Superlinearly Convergent Evolution Strategy
by: Glasmachers, Tobias
Published: (2025)

Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization
by: Robledo, Isaac, et al.
Published: (2026)

Smooth Tchebycheff Scalarization for Multi-Objective Optimization
by: Lin, Xi, et al.
Published: (2024)

Gridless Evolutionary Approach for Line Spectral Estimation with Unknown Model Order
by: Yan, Bai, et al.
Published: (2021)

Discrete Natural Evolution Strategies
by: Amin, Ahmad Ayaz
Published: (2024)

Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
by: Lin, Xi, et al.
Published: (2024)