DSO WORKSHOPS 2017

 

 

 

Data Science meets Optimisation workshops 2017

 

Call for Papers

Workshop on Data Science meets Optimisation

Donostia - San Sebastián, Spain &  Padova, Italy (June 5, 2017)

 

Scope:

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.

Aim

The aim of the current bi-located workshop is to organise an open discussion and exchange of ideas by researchers from different domains. Authors are invited to send in a contribution in the form of a position paper. A reviewing panel will select the papers to be presented at the workshop according to their suitability to the aims. Finished work highlighting the opportunities will be welcomed, as will be sound descriptions and elaborations on good ideas. Following the workshop, a special issue will be prepared.

Colocated with

2017 IEEE Congress on Evolutionary Computation (CEC2017)

Donostia - San Sebastián, Spain, June 5-8, 2017

and simultaneously with

2017 Conference of Constraint Programming, Artificial Intelligence and Operational Research (CPAIOR 2017)

Padova, Italy, June 5-8, 2017

Keynote speakers:

Prof. Dr. Tias Guns

Assistant professor
Vrije Universiteit Brussel 

Key speaker at Padova (CPAIOR 2017)

Prof. Dr. Holger Hoos

Professor of Machine Learning
Universiteit Leiden

Key speaker at San Sebastian (CEC2017)

Tias Guns  Holger Hoos

Paper Submission:

Please send your contribution by e-mail to this address and use the subject Workshop on Data Science meets Optimisation. Your paper can, but need not, be a second contribution apart from a regular paper or a special session contribution. If applicable, please mention your other contribution in the submitting e-mail. Also, please mention which of the two conferences (CEC2017 or CPAIOR 2017) you will attend.

If your submission is specifically sent to the workshop (and not as a regular paper to either CEC2017 or CPAIOR 2017), then to help ensure correct formatting please use the IEEE conference paper templates (US Letter). Please prepare the manuscripts following the template instructions. Only papers prepared in PDF format will be accepted. 

  • Paper Length: 3 to 8 pages, including figures, tables and references.
  • Paper Formatting: double column, single spaced, #10 point Times Roman font.
  • Margins: Left, Right, and Bottom: 0.75" (19mm). The top margin must be 0.75" (19 mm), except for the title page where it must be 1" (25 mm). No page numbers please. We will insert the page numbers for you. 

Workshop schedule: 

  • Both keynote lectures will last about 40 minutes (30’ talk+10’ questions).
  • Regular presentations will last about 20 minutes (15’ talk+5’ questions).
  • The detailed schedule will be announced shortly after the submission deadline.

Important dates:

Deadline for submission of full papers: 10 March 2017  (Extended: 1 April 2017 )

Notification of acceptance: 10 April 2017

Workshop date: 5 June, 2017

Organization:

Working group coordinators: Patrick De Causmaecker, Ender Özcan, Andrew Parkes

Proceedings chair: Pieter Leyman

Publicity chair: Morteza Davari