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META-HEURISTICS  January 2013

META-HEURISTICS January 2013

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Subject:

Call for Papers: Workshop on Evolutionary Computation Software Systems (EvoSoft) @ GECCO 2013

From:

Stefan Wagner <[log in to unmask]>

Reply-To:

Stefan Wagner <[log in to unmask]>

Date:

Sat, 19 Jan 2013 23:21:53 +0100

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (91 lines)

WORKSHOP ON EVOLUTIONARY COMPUTATION SOFTWARE SYSTEMS (EvoSoft)

to be held as part of the

2013 Genetic and Evolutionary Computation Conference (GECCO-2013)
July 06-10, Amsterdam, The Netherlands

Organized by ACM SIGEVO
http://www.sigevo.org/gecco-2013

Submission deadline for this workshop: March 28th, 2013


DESCRIPTION & TOPICS:
Evolutionary computation (EC) methods are applied in many different
domains. Therefore soundly engineered, reusable, flexible, user-friendly,
and interoperable software systems are more than ever required to bridge
the gap between theoretical research and practical application. However,
due to the heterogeneity of the application domains and the large number
of EC methods, the development of such systems is both, time consuming and
complex. Consequently many EC researchers still implement individual and
highly specialized software which is often developed from scratch,
concentrates on a specific research question, and does not follow state of
the art software engineering practices. By this means the chance to reuse
existing systems and to provide systems for others to build their work on
is not sufficiently seized within the EC community. In many cases the
developed systems are not even publicly released, which makes the
comparability and traceability of research results very hard.

This workshop enables EC researchers to exchange their ideas on how to
develop and apply generic and reusable EC software systems and to present
open and freely available solutions on which others can build their work
on. Furthermore, the workshop should help to identify common efforts in
the development of EC software systems and should highlight cooperation
potentials and synergies between different research groups. It
concentrates on the importance of high-quality software systems and
professional software engineering in the field of EC and provides a
platform for EC researchers to discuss the following and other related
topics:

 * development and application of generic and reusable EC software systems
 * architectural and design patterns for EC software systems
 * software modeling of EC algorithms and problems
 * open-source EC software systems
 * expandability, interoperability, and standardization
 * comparability and traceability of research results
 * graphical user interfaces and visualization
 * comprehensive statistical and graphical results analysis
 * parallelism and performance
 * usability and automation
 * comparison and evaluation of EC software systems

Additional details are available at http://evosoft.heuristiclab.com.


IMPORTANT DATES:
Submission Deadline: March 28th, 2013
Notification of Acceptance: April 15th, 2013
Camera-ready Submission: April 25th, 2013
Workshops at GECCO 2013: July 6th and 7th, 2013


SUBMISSION GUIDELINES:
Authors should send their papers to [log in to unmask] until
March 28th, 2013. All workshop papers have to fulfill the preparation
requirements of GECCO-2013 full regular papers. Detailed instructions
for authors are listed here:
http://www.sigevo.org/gecco-2013/papers.html#instructions


WORKSHOP ORGANIZERS:
Dr. Stefan Wagner
Professor for Complex Software Systems
[log in to unmask]

Dr. Michael Affenzeller
Professor for Heuristic Optimization and Machine Learning
[log in to unmask]

Heuristic and Evolutionary Algorithms Laboratory (HEAL)
Department of Software Engineering, Campus Hagenberg
School of Informatics, Communications and Media
University of Applied Sciences Upper Austria



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).

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