SIPLIB: A Stochastic Integer Programming Test Problem Library. SIPLIB is a collection of test problems to facilitate computational and algorithmic research in stochastic integer programming. The test problem data is provided in the standard SMPS format unless otherwise mentioned. Where available, information on the underlying problem formulation and known solution is also included.
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References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Angulo, Gustavo; Ahmed, Shabbir; Dey, Santanu S.: Improving the integer L-shaped method (2016)
- Colombo, Marco; Grothey, Andreas: A decomposition-based crash-start for stochastic programming (2013)
- Huang, Kai; Ahmed, Shabbir: The value of multistage stochastic programming in capacity planning under uncertainty (2009)
- Latorre, Jesús M.; Cerisola, Santiago; Ramos, Andrés; Palacios, Rafael: Analysis of stochastic problem decomposition algorithms in computational grids (2009)