RPCGB Method for Large-Scale Global Optimization Problems

In this paper, we propose a new approach for optimizing a large-scale non-convex differentiable function subject to linear equality constraints. The proposed method, RPCGB (random perturbation of the conditional gradient method with bisection algorithm), computes a search direction by the conditiona...

Full description

Saved in:

Bibliographic Details
Published in:	Axioms Vol. 12; no. 6; p. 603
Main Authors:	Ettahiri, Abderrahmane, El Mouatasim, Abdelkrim
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.06.2023
Subjects:	Algorithms Approximation bisection algorithm conditional gradient method Convex analysis Cost function Global optimization large-scale problem Linear programming Mathematical optimization Methods non-convex optimization Optimization techniques Perturbation random perturbation Random variables Signal processing Stochastic processes Morocco
ISSN:	2075-1680, 2075-1680
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!