1. Recent advances in applied optimization under uncertainty

   • Stein-Erik Fleten
   • Rüdiger Schultz

   Editorial 19 July 2021 Pages: 265 - 265

2. Stochastic single machine scheduling problem as a multi-stage dynamic random decision process

   • Mina Roohnavazfar
   • Daniele Manerba
   • Roberto Tadei

   Original Paper Open access 03 February 2021 Pages: 267 - 297

3. Quantile-based optimal portfolio selection

   • Taras Bodnar
   • Mathias Lindholm
   • Joanna Tyrcha

   Original Paper Open access 02 April 2021 Pages: 299 - 324

   

4. A node formulation for multistage stochastic programs with endogenous uncertainty

   • Giovanni Pantuso

   Original Paper 03 April 2021 Pages: 325 - 354

   

5. Quantile– based portfolios: post– model– selection estimation with alternative specifications

   • Giovanni Bonaccolto

   Original Paper 12 April 2021 Pages: 355 - 383

   

6. A hybrid dynamic programming - Tabu Search approach for the long-term hydropower scheduling problem

   • Yves Mbeutcha
   • Michel Gendreau
   • Gregory Emiel

   Original Paper 31 May 2021 Pages: 385 - 410

   

7. Scenario generation by selection from historical data

   • Michal Kaut

   Original Paper Open access 03 June 2021 Pages: 411 - 429