Sunday, February 28, 2016

[DMANET] Data Science in Optimisation Stream at EURO 2016 (Poznan, 3-6 July)

Dear Colleagues,

For the upcoming EURO 2016 conference,
you are invited to submit an abstract to the stream

"Data Science in Optimisation"

The scope of the stream is any method that improves, or aims to improve,
any optimisation methods using methods from data science.

Optimisation methods are meant in a very broad sense from heuristics in
systematic search methods, to meta-heuristics, to intelligent adaptive
search methods such as hyper-heuristics, or others.

Data science methods may include anything that uses statistical, machine
learning, data mining, analytics, forecasting, or other methods in order
to improve optimisation methods.

For example, topics may include, but are not limited to: parameter
tuning; automated generation of heuristics; adaptive metaheuristics, etc.

Submission requires only an abstract written in English and containing
no more than 1500 characters. (Each individual attendee is allowed to
present only one paper at the conference, but may be an author on
multiple submissions.)

Please use the web page for the submissions:
using invitation/session code a7cf2cd3

Patrick De Causmaecker
Ender Özcan
Andrew J. Parkes

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