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A Benders decomposition method for solving stochastic complementarity problems with an application in energy

Gabriel, Steven A.; Fuller, J. David - In: Computational economics 35 (2010) 4, pp. 301-329

Persistent link: https://www.econbiz.de/10003992459

Robust stochastic models for profit-maximizing hub location problems

Taherkhani, Gita; Alumur, Sibel A.; Hosseini, Mojtaba - In: Transportation science : a journal of the Institute for … 55 (2021) 6, pp. 1322-1350

Persistent link: https://www.econbiz.de/10012796976

An asynchronous parallel Benders decomposition method for stochastic network design problems

Rahmaniani, Ragheb; Crainic, Teodor Gabriel; Gendreau, … - 2021

Persistent link: https://www.econbiz.de/10012650164

Benders' decomposition for the balancing of assembly lines with stochastic demand

Sikora, Celso - In: European journal of operational research : EJOR 292 (2021) 1, pp. 108-124

Persistent link: https://www.econbiz.de/10012495413

Stochastic survivable network design problems : theory and practice

Ljubić, Ivana; Mutzel, Petra; Zey, Bernd - In: European journal of operational research : EJOR 256 (2017) 2, pp. 333-348

Persistent link: https://www.econbiz.de/10011611945

Scenario-based modeling for multiple allocation hub location problem under disruption risk : multiple cuts Benders decomposition approach

Yahyaei, Mohsen; Bashiri, Mahdi - In: Journal of industrial engineering international 13 (2017) 4, pp. 445-453

The hub location problem arises in a variety of domains such as transportation and telecommunication systems. In many real-world situations, hub facilities are subject to disruption. This paper deals with the multiple allocation hub location problem in the presence of facilities failure. To...

Persistent link: https://www.econbiz.de/10011765328