A novel two-phase decomposition-based algorithm to solve MINLP pipeline scheduling problem
| Year of publication: |
2022
|
|---|---|
| Authors: | Asl, Neda Beheshti ; MirHassani, S. A. ; Relvas, S. ; Hooshmand, F. |
| Published in: |
Operational research : an international journal. - Berlin : Springer, ISSN 1866-1505, ZDB-ID 2425760-6. - Vol. 22.2022, 5, p. 4829-4863
|
| Subject: | Continuous-time model | MINLP model | Multi-product pipeline scheduling | Stable flow-rate | Two-phase decomposition-based heuristic | Scheduling-Verfahren | Scheduling problem | Theorie | Theory | Algorithmus | Algorithm | Heuristik | Heuristics | Mathematische Optimierung | Mathematical programming | Pipeline |
-
Nobil, Amir Hossein, (2020)
-
An efficient GRASP-like algorithm for the multi-product straight pipeline scheduling problem
Bamoumen, Meryem, (2023)
-
Éles, András, (2025)
- More ...
-
Adjustable robust optimization approach for SVM under uncertainty
Hooshmand, F., (2025)
-
A heuristic method to find a quick feasible solution based on the ratio programming
Yarahmadi, M. N., (2023)
-
Hooshmand, F., (2023)
- More ...