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Finding compromise solutions in project portfolio selection with multiple experts by inverse optimization

Roland, Julien; Figueira, José Rui; De Smet, Yves - In: Computers & operations research : and their … 66 (2016), pp. 12-19

Persistent link: https://www.econbiz.de/10011428981

Optimization of Value-at-Risk : computational aspects of MIP formulations

Pavlikov, Konstantin; Veremyev, Alexander; Pasiliao, … - In: Journal of the Operational Research Society 69 (2018) 5, pp. 676-690

Persistent link: https://www.econbiz.de/10012225846

The maximum balanced subgraph of a signed graph : applications and solution approaches

Figueiredo, Rosa; Frota, Yuri - In: European journal of operational research : EJOR 236 (2014) 2, pp. 473-487

Persistent link: https://www.econbiz.de/10010366167

Application of quantum computing in discrete portfolio optimization

Shunza, Justus; Akinyemi, Mary; Yinka-Banjo, Chika - In: Journal of management science and engineering 8 (2023) 4, pp. 453-464

This study proposes a novel and more efficient quantum algorithm for portfolio optimization using quantum combinatorial optimization (QCO) techniques. A recent construction developed in 2021 has sparked the field of financial portfolio optimization through the Quantum Walk Optimization Algorithm...

Persistent link: https://www.econbiz.de/10014504618