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Linear convergence of a primal-dual algorithm for distributed interval optimization.
- Source :
-
Electronic Research Archive . 2024, Vol. 32 Issue 2, p1-17. 17p. - Publication Year :
- 2024
-
Abstract
- In this paper, we investigate a distributed interval optimization problem whose local functions are interval functions rather than scalar functions. Focusing on distributed interval optimization, this paper presents a distributed primal-dual algorithm. A criterion is introduced under which linear convergence to the Pareto solution of distributed interval optimization problems can be achieved without strong convexity. Lastly, a numerical simulation is presented to illustrate the linear convergence of the algorithm that has been proposed. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 26881594
- Volume :
- 32
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Electronic Research Archive
- Publication Type :
- Academic Journal
- Accession number :
- 178380290
- Full Text :
- https://doi.org/10.3934/era.2024041