Robust two-stage optimization consensus models with uncertain costs
Year of publication: |
2024
|
---|---|
Authors: | Li, Huanhuan ; Ji, Ying ; Ding, Jieyu ; Qu, Shaojian ; Zhang, Huijie ; Li, Yuanming ; Liu, Yubing |
Published in: |
European journal of operational research : EJOR. - Amsterdam [u.a.] : Elsevier, ISSN 0377-2217, ZDB-ID 1501061-2. - Vol. 317.2024, 3 (16.9.), p. 977-1002
|
Subject: | (S) group decisions and negotiations | Minimum cost consensus | Robust optimization | Two-stage stochastic programming | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Robustes Verfahren | Robust statistics | Stochastischer Prozess | Stochastic process | Gruppenentscheidung | Group decision-making |
-
Consensus modeling with asymmetric cost based on data-driven robust optimization
Qu, Shaojian, (2021)
-
Decomposition methods for Wasserstein-based data-driven distributionally robust problems
Cano Gamboa, Carlos Andrés, (2021)
-
A novel robust flexible minimum cost consensus model with consensus granule
Ji, Ying, (2024)
- More ...
-
Risk-averse two-stage stochastic minimum cost consensus models with asymmetric adjustment cost
Ji, Ying, (2022)
-
Li, Yuanming, (2022)
-
Wang, Zheng, (2022)
- More ...