In this meeting of the AI Seminar Series, Dr. Andrea Rendl will give a short talk on modelling stochastic problems with MiniZinc.
Title: Stochastic MiniZinc
Speaker: Dr. Andrea Rendl
When: Tuesday, 29th April 11 AM - 12 NOON
Where: Doug McDonnell-10.05
Combinatorial optimisation problems often contain uncertainty that has to be
taken into account to produce realistic solutions. However, existing
modelling systems either do not support uncertainty, or do not support
combinatorial features, such as integer variables and non-linear constraints.
In this talk, we present an extension of the MiniZinc modelling language that
supports uncertainty. Stochastic MiniZinc enables modellers to express
combinatorial stochastic problems at a high level of abstraction, independent
of the stochastic solving approach. These models are translated automatically
into different solver-level representations. Stochastic MiniZinc provides the
first solving technology agnostic approach to stochastic modelling we are
Andrea is a researcher in NICTA's Optimisation Research Group (ORG) since
November 2013, where she is focussing on integrating uncertainty into the ORG
optimization platform. From 2010-2013, Andrea worked on applied research-
projects dealing with problems from transportation and logistics at the
Austrian Institute of Technology in Vienna, Austria. She received her PhD in
Constraint Programming from the University of St Andrews in Scotland, UK in
2010 on automatically enhancing constraint model formulations.