Open source optimization analytics

Assets of OscaR for hybridization

OscaR is a Scala toolkit for solving analytics and optimization problems on the JVM. With OscaR one can easily create high level models combining any of the following tools:
  • oscar-cp: Constraint Programming
  • oscar-cbls: Constrained Based Local Search
  • oscar-linprog: Linear (Integer) Programming
  • oscar-des: Discrete Event Simulation
  • oscar-dfo: Derivative Free Optimization
  • oscar-visu: Visualization

Story of OscaR

  • 2010-2012: Scampi, a tool containing a CP solver, LP wrappers and a Discrete Event Simulation framework was developped by Pierre Schaus.
  • 2010-2012: Asteroid, a constrained based local search solver was developped by Renaud Delandsheer.
  • 2011: Cyrille Dejemeppe created the Derivative free solver during an internship at n-Side (under Pierre Schaus' supervision).
  • January 2012: Scampi and Asteroid were merged to create OscaR, an open-source (LGPL) project.
  • March 2014: First stable release 1.0.0.
  • Since then one release every 6 months