A new algorithm for linearly constrained c-convex vector optimization with a supply chain network risk application
Year of publication: |
2015
|
---|---|
Authors: | Qu, Shaojian ; Goh, Mark ; de Souza, Robert |
Published in: |
European journal of operational research : EJOR. - Amsterdam : Elsevier, ISSN 0377-2217, ZDB-ID 243003-4. - Vol. 247.2015, 2 (1.12.), p. 359-365
|
Subject: | Multiple objective programming | Pareto optimum | C-convex | Proximal point algorithm | Supply chain network risk management | Lieferkette | Supply chain | Mathematische Optimierung | Mathematical programming | Risikomanagement | Risk management | Theorie | Theory | Algorithmus | Algorithm | Unternehmensnetzwerk | Business network |
-
Yamada, Tadashi, (2015)
-
Towards optimal configuration of a manufacturer's supply network with demand flexibility
Cui, L. X., (2015)
-
Wang, Mozhu, (2023)
- More ...
-
Quasi-Newton methods for solving multiobjective optimization
Qu, Shaojian, (2011)
-
Nonsmooth multiobjective programming with quasi-Newton methods
Qu, Shaojian, (2014)
-
Nonmonotone gradient methods for vector optimization with a portfolio optimization application
Qu, Shaojian, (2017)
- More ...