Data Science meets Optimisation Streams 2017


Call for Abstracts 

Stream on Data Science meets Optimisation 

Quebec city, Quebec, Canada  (July 17-21, 2017)



The interaction of data science (DS) and optimisation (O) is the central theme of the working group (DSO). DSO originates from the observation that, on the one hand, real time optimisation algorithms are tightly linked to the data-context, and on the other hand, many data-analytic algorithms rely on optimisation algorithms, while many modern optimisation algorithms have some form of machine learning embedded. The first observation has a.o. led to developments in automated algorithm tuning, configuration and construction to adapt or even create algorithms from a historical body of data.   The second observation is cause to development of similar ideas in different contexts but without much interaction. It is the aim of the working group to bring the two domains closer to each to better contribute to the aims of EURO, the European Organisation for Operations Research.


Co-located with

21st  conference of international federation of operations research societies (IFORS 2017)

 Quebec city, Quebec, Canada  (July 17-21, 2017)


Abstract Submission:

You can submit your abstract through the IFORS website with the following submission code: 7eb193df