The application of a unified Bayesian stopping criterion in competing parallel algorithms for global optimization
type: Item
instance of: scholarly article
title: The application of a unified Bayesian stopping criterion in competing parallel algorithms for global optimization
zbMATH Open document ID: 1062.90062
author: H. P. J. Bolton
author: Albert A. Groenwold
author: Johannes Arnoldus Snyman
publication date: 2005-03-08T00:00:00Z
Mathematics Subject Classification ID: 90C30
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 2142481
zbMATH Keywords: Competing optimization algorithms
zbMATH Keywords: Global stopping criterion
zbMATH Keywords: Parallel optimization
describes a project that uses: L-BFGS-B
describes a project that uses: SIGMA_
describes a project that uses: L-BFGS
describes a project that uses: PVM
describes a project that uses: LBFGS-B
MaRDI profile type: Publication
full work available at URL: j.camwa.2003.09.030
OpenAlex ID: W2071709288
cites work: Q4833816
cites work: Stochastic techniques for global optimization: A survey of recent advances
cites work: A multi-start global minimization algorithm with dynamic search trajectories
cites work: Q3993195
cites work: Application of Bayesian approach to numerical methods of global and stochastic optimization
cites work: A stochastic method for global optimization
cites work: Stochastic global optimization methods part I: Clustering methods
cites work: A Limited Memory Algorithm for Bound Constrained Optimization
cites work: Algorithm 778: L-BFGS-B
cites work: Global Convergence Properties of Conjugate Gradient Methods for Optimization
cites work: Global optimization using dynamic search trajectories
cites work: Global optimization
cites work: Global optimization and stochastic differential equations
cites work: Algorithm 667: Sigma—a stochastic-integration global minimization algorithm
cites work: Generalized descent for global optimization
DOI: 10.1016/J.CAMWA.2003.09.030
published in: Computers & Mathematics with Applications
Recommended article: Bayesian stopping rules for multistart global optimization methods
Recommended article: Bayesian stopping rules for improvement of local minima algorithms in global optimization
Recommended article: A Multicriteria Generalization of Bayesian Global Optimization
Recommended article: Interval uncertainty propagation by a parallel Bayesian global optimization method
Recommended article: Bayesian approach to global optimization and application to multiobjective and constrained problems
Recommended article: Q3220363
Recommended article: Optimal and sub-optimal stopping rules for the multistart algorithm in global optimization
Recommended article: Q3826370
description: scientific article; zbMATH DE number 2142481