Constrained Consensus-Based Optimization and Numerical Heuristics for the Few Particle Regime
Fuente:
arXiv
Saved in:
| Main Authors: | Beddrich, Jonas, Chenchene, Enis, Fornasier, Massimo, Huang, Hui, Wohlmuth, Barbara |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Consensus-Based Optimization Methods Converge Globally
by: Fornasier, Massimo, et al.
Published: (2021)
by: Fornasier, Massimo, et al.
Published: (2021)
Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law
by: Fornasier, Massimo, et al.
Published: (2021)
by: Fornasier, Massimo, et al.
Published: (2021)
Strong Global Convergence of the Consensus-Based Optimization Algorithm
by: Bonandin, Sabrina, et al.
Published: (2025)
by: Bonandin, Sabrina, et al.
Published: (2025)
On the Global Convergence of Particle Swarm Optimization Methods
by: Huang, Hui, et al.
Published: (2022)
by: Huang, Hui, et al.
Published: (2022)
cuHALLaR: A GPU Accelerated Low-Rank Augmented Lagrangian Method for Large-Scale Semidefinite Programming
by: Aguirre, Jacob M., et al.
Published: (2025)
by: Aguirre, Jacob M., et al.
Published: (2025)
Kinetic description and convergence analysis of genetic algorithms for global optimization
by: Borghi, Giacomo, et al.
Published: (2023)
by: Borghi, Giacomo, et al.
Published: (2023)
Oracle complexities of augmented Lagrangian methods for nonsmooth manifold optimization
by: Deng, Kangkang, et al.
Published: (2024)
by: Deng, Kangkang, et al.
Published: (2024)
Depth-first directional search for nonconvex optimization
by: Zhang, Yuxuan, et al.
Published: (2024)
by: Zhang, Yuxuan, et al.
Published: (2024)
Norm-induced Cuts: Outer Approximation for Lipschitzian Constraint Functions
by: Göß, Adrian, et al.
Published: (2024)
by: Göß, Adrian, et al.
Published: (2024)
Uniform-in-time mean-field limit estimate for the Consensus-Based Optimization
by: Huang, Hui, et al.
Published: (2024)
by: Huang, Hui, et al.
Published: (2024)
A diving heuristic for mixed-integer problems with unbounded semi-continuous variables
by: Halbig, Katrin, et al.
Published: (2024)
by: Halbig, Katrin, et al.
Published: (2024)
A low-rank augmented Lagrangian method for large-scale semidefinite programming based on a hybrid convex-nonconvex approach
by: Monteiro, Renato D. C., et al.
Published: (2024)
by: Monteiro, Renato D. C., et al.
Published: (2024)
A Unified Zeroth-Order Proximal Newton-Type Framework for Composite Optimization
by: Liu, Zekun, et al.
Published: (2026)
by: Liu, Zekun, et al.
Published: (2026)
Convergence rate of the (1+1)-evolution strategy on locally strongly convex functions with lipschitz continuous gradient
by: Morinaga, Daiki, et al.
Published: (2022)
by: Morinaga, Daiki, et al.
Published: (2022)
Moreau envelope and proximal-point methods under the lens of high-order regularization
by: Kabgani, Alireza, et al.
Published: (2025)
by: Kabgani, Alireza, et al.
Published: (2025)
Perpertual Coupled Simulated Annealing for Continuous Optimization
by: Gonçalves-e-Silva, Kayo, et al.
Published: (2018)
by: Gonçalves-e-Silva, Kayo, et al.
Published: (2018)
Grassmannian optimization is NP-hard
by: Lai, Zehua, et al.
Published: (2024)
by: Lai, Zehua, et al.
Published: (2024)
Analyzing Modularity Maximization in Approximation, Heuristic, and Graph Neural Network Algorithms for Community Detection
by: Aref, Samin, et al.
Published: (2023)
by: Aref, Samin, et al.
Published: (2023)
Steering exact penalty DCA for nonsmooth DC optimization problems with equality and inequality constraints
by: Dolgopolik, M. V.
Published: (2021)
by: Dolgopolik, M. V.
Published: (2021)
A structured L-BFGS method and its application to inverse problems
by: Mannel, Florian, et al.
Published: (2023)
by: Mannel, Florian, et al.
Published: (2023)
A structured L-BFGS method with diagonal scaling and its application to image registration
by: Mannel, Florian, et al.
Published: (2024)
by: Mannel, Florian, et al.
Published: (2024)
Convergence analysis of a primal-dual optimization-by-continuation algorithm
by: Loris, Ignace, et al.
Published: (2023)
by: Loris, Ignace, et al.
Published: (2023)
Gaussian smoothing gradient descent for minimizing functions (GSmoothGD)
by: Starnes, Andrew, et al.
Published: (2023)
by: Starnes, Andrew, et al.
Published: (2023)
Exact Solutions for the NP-hard Wasserstein Barycenter Problem using a Doubly Nonnegative Relaxation and a Splitting Method
by: Jung, Woosuk L., et al.
Published: (2023)
by: Jung, Woosuk L., et al.
Published: (2023)
Proximal Limited-Memory Quasi-Newton Methods for Nonsmooth Nonconvex Optimization
by: Dahl, Simeon vom, et al.
Published: (2026)
by: Dahl, Simeon vom, et al.
Published: (2026)
A globalization of L-BFGS and the Barzilai-Borwein method for nonconvex unconstrained optimization
by: Mannel, Florian
Published: (2024)
by: Mannel, Florian
Published: (2024)
Riemannian Adaptive Regularized Newton Methods with Hölder Continuous Hessians
by: Zhang, Chenyu, et al.
Published: (2023)
by: Zhang, Chenyu, et al.
Published: (2023)
An Extended ADMM for 3-Block Nonconvex Nonseparable Problems with Applications
by: Liu, Zekun
Published: (2024)
by: Liu, Zekun
Published: (2024)
Damage Location in Mechanical Structures by Multi-Objective Pattern Search
by: Günther, Christian, et al.
Published: (2024)
by: Günther, Christian, et al.
Published: (2024)
Efficient parameter-free restarted accelerated gradient methods for convex and strongly convex optimization
by: Sujanani, Arnesh, et al.
Published: (2024)
by: Sujanani, Arnesh, et al.
Published: (2024)
Splitting the Conditional Gradient Algorithm
by: Woodstock, Zev, et al.
Published: (2023)
by: Woodstock, Zev, et al.
Published: (2023)
A User Manual for cuHALLaR: A GPU Accelerated Low-Rank Semidefinite Programming Solver
by: Aguirre, Jacob, et al.
Published: (2025)
by: Aguirre, Jacob, et al.
Published: (2025)
Globally Solving Concave Quadratic Programs via Doubly Nonnegative Relaxation
by: Qu, Zheng, et al.
Published: (2023)
by: Qu, Zheng, et al.
Published: (2023)
Accuracy and Performance Evaluation of Quantum, Classical and Hybrid Solvers for the Max-Cut Problem
by: Vodeb, Jaka, et al.
Published: (2024)
by: Vodeb, Jaka, et al.
Published: (2024)
Robust Markov stability for community detection at a scale learned based on the structure
by: Aref, Samin, et al.
Published: (2025)
by: Aref, Samin, et al.
Published: (2025)
Structural and Solution Analysis for the Ordered Weber Problem under Spatial Uncertainty
by: Blanco, Víctor, et al.
Published: (2025)
by: Blanco, Víctor, et al.
Published: (2025)
Decentralized projected Riemannian stochastic recursive momentum method for nonconvex optimization
by: Deng, Kangkang, et al.
Published: (2024)
by: Deng, Kangkang, et al.
Published: (2024)
Parameter-Free Accelerated Quasi-Newton Method for Nonconvex Optimization
by: Marumo, Naoki
Published: (2025)
by: Marumo, Naoki
Published: (2025)
Inexact Riemannian Gradient Descent Method for Nonconvex Optimization
by: Zhou, Juan, et al.
Published: (2024)
by: Zhou, Juan, et al.
Published: (2024)
Augmentation Algorithms for Integer Programs with Total Variation-like Regularization
by: Yang, Dominic, et al.
Published: (2025)
by: Yang, Dominic, et al.
Published: (2025)
Similar Items
-
Consensus-Based Optimization Methods Converge Globally
by: Fornasier, Massimo, et al.
Published: (2021) -
Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law
by: Fornasier, Massimo, et al.
Published: (2021) -
Strong Global Convergence of the Consensus-Based Optimization Algorithm
by: Bonandin, Sabrina, et al.
Published: (2025) -
On the Global Convergence of Particle Swarm Optimization Methods
by: Huang, Hui, et al.
Published: (2022) -
cuHALLaR: A GPU Accelerated Low-Rank Augmented Lagrangian Method for Large-Scale Semidefinite Programming
by: Aguirre, Jacob M., et al.
Published: (2025)