OscaR is a Scala toolkit for solving Operations Research problems. The techniques currently available in OscaR are: Constraint Programming; Constrained Based Local Search; Linear (Integer) Programming; Discrete Event Simulation; Derivative Free Optimization; Visualization.
Keywords for this software
References in zbMATH (referenced in 6 articles )
Showing results 1 to 6 of 6.
- Houndji, Vinasetan Ratheil; Schaus, Pierre; Hounkonnou, Mahouton Norbert; Wolsey, Laurence: The weighted arborescence constraint (2017)
- Monette, Jean-Noël; Beldiceanu, Nicolas; Flener, Pierre; Pearson, Justin: A parametric propagator for pairs of sum constraints with a discrete convexity property (2016)
- Björdal, Gustav; Monette, Jean-Noël; Flener, Pierre; Pearson, Justin: A constraint-based local search backend for MiniZinc (2015)
- Pesant, Gilles: Achieving domain consistency and counting solutions for dispersion constraints (2015)
- Schaus, Pierre; Régin, Jean-Charles: Bound-consistent spread constraint. Application to load balancing in nurse-to-patient assignments (2014)
- Soh, Takehide; Tamura, Naoyuki; Banbara, Mutsunori: Scarab: a rapid prototyping tool for SAT-based constraint programming systems (2013)