Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4959074 | Computers & Operations Research | 2017 | 37 Pages |
Abstract
In this paper, we propose a framework to allocate tasks according to different policies, defined by suitable optimization problems. Then, we provide a distributed optimization approach relying on the Alternating Direction Method of Multipliers (ADMM) for one of these policies, and we compare it with a centralized approach. Results show that, when a centralized approach can not be adopted in a real environment, it could be possible to rely on the good suboptimal solutions found by the ADMM.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Stefano Sebastio, Giorgio Gnecco, Alberto Bemporad,