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AISB event Bulletin Item

CALL FOR PAPERS:2nd Understanding Problems Workshop (GECCO-UP) @ GECCO 2013, July 6-10, Amsterdam, THE NETHERLANDS

to be held as part of the 2013 Genetic and Evolutionary Computation Conference (GECCO-2013), July 6-10, Amsterdam, The Netherlands, USA Organized by ACM SIGEVO,


We invite submissions to the second workshop on Understanding Problems

Optimisation algorithms have been extensively studied in the recent
years, but until recently less attention has been paid to the
understanding of the problems being solved. The 2nd GECCO-UP will
continue the themes of last year's workshop and aims to provide a
forum for the discussion and exploration of methods for the analysis,
creation and synthesis of optimisation problems through both
theoretical and experimental methods. In addition to paper
presentations, the workshop will call for demonstrations of software
and frameworks relevant to problem understanding. Furthermore, to
facilitate discussion of new ideas and approaches, a section of the
workshop will be dedicated to presentations exploring and analysing a
shared optimisation problem data set which will be provided by the
organisers with the call for participation.

The following key areas of active research will be of specific
interest (although submissions are not limited to these areas):
* creation of test problems;
* experimental methods for analysing and detecting problem landscapes;
* identifiers and metrics for describing problem features;
* spatial descriptors;
* problem space visualisation;
* difficulty and complexity analysis;
* analysis of dynamic problems;
* analysis of noisy problems;
* construction of problem taxonomies and theoretical foundations.

The workshop will be split into 3 parts: paper presentations; live
demos; and data exploration.

The live demo section will be dedicated to demonstrating new software,
tools and frameworks which are relevant to the topic of problem

A section of the workshop will be dedicated to papers analysing and
visualising a set of supplied data, which will provide a means of
comparisons based on the same data as well as offer the opportunity
for identifying and discussing new areas of potential in problem
understanding. Participants are encouraged to give live demonstrations
if they submit visualisations of the results.


Paper Submission: 28th March 2013
Paper Notification of Acceptance: 15th April 2013
Paper Camera Ready Submission: 25th April 2013
Workshops: 6th & 7th July 2013
Conference: 6th to 10th July 2013


Each accepted submission will be presented orally at the workshop and
distributed in the workshop proceedings to all GECCO attendees.
Authors should follow the format of the GECCO manuscript style; refer
to for further details. Manuscripts
should not exceed 8 pages. Papers should be submitted by 28th March
2013 in PDF format to Acceptance to the
workshop will be based on peer review of submitted papers.


If you are interested in participating the 2nd GECCO-UP workshop or
intent to attend the workshop please also consider signing up to
review for this workshop. This is the second workshop and we expect a
good number of submissions as well as establishing a large programme
committee to spread the load. To register as a reviewer for this
workshop or to request more information please contact the organisers


Dataset -- As part of this year's workshop, the organisers will
release an open dataset of solutions for an set of optimisation
problems. The organisers invite paper submissions and technical
presentations of new analysis, visualisation and related work. The
dataset will be released on Friday, 18th January 2013 at

Google Group / Mail List -- Due to a large number of peoples
suggestion I have setup a problem understanding mail list. To join
the mailing list visit:!forum/problemunderstanding


Kent McClymont, Ed Keedwell,
(University of Exeter)

GECCO is sponsored by the Association for Computing Machinery Special
Interest Group on Genetic and Evolutionary Computation (SIGEVO). SIG
Services: 2 Penn Plaza, Suite 701, New York, NY, 10121, USA,
1-800-342-6626 (USA and Canada) or +212-626-0500 (Global).