Machine learning-enriched distributionally robust optimization and hybrid decomposition to joint optimization of transportation hub network design and pricing
Seyed Ashkan Hosseini Shekarabi, Reza Kiani Mavi, Flavio Romero Macau, Ali Papi, Ashkan Teymouri
| Year of publication: |
2026
|
|---|---|
| Authors: | Shekarabi, Ashkan Hosseini ; Kiani Mavi, Reza ; Macau, Flavio Romero ; Papi, Ali ; Teymouri, Ashkan |
| Published in: |
Computers & operations research : an international journal. - Amsterdam [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 1499736-8. - Vol. 186.2026, Art.-No. 107291, p. 1-28
|
| Subject: | Distributionally Robust Optimization | Hub Network Design | Hybrid Decomposition Method | Machin Learning | Pricing | Transportation | Dekompositionsverfahren | Decomposition method | Theorie | Theory | Robustes Verfahren | Robust statistics | Künstliche Intelligenz | Artificial intelligence | Mathematische Optimierung | Mathematical programming | Preismanagement | Pricing strategy | Algorithmus | Algorithm | Operations Research | Operations research |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.cor.2025.107291 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015553007