Objectives and Themes
Search and optimization problems are everywhere, and
search algorithms are getting increasingly powerful.
However, they are also getting increasingly complex, and
only autonomous self-managed systems that provide
high-level abstractions can turn search algorithms into
widely used methodologies. Such systems should be able
to configure themselves on the fly, automatically
adapting to the changing problem conditions, based on
general goals provided by their users. The overall goal
is to reduce the role of the human expert in the process
of designing an algorithm to solve a computational
search problem.
The aim of the Self-* Search track is to bring together
researchers from computer science, artificial
intelligence and operations research, interested in
software systems able to automatically tune, configure,
or even generate and design optimization algorithms and
search heuristics. We also encourage submissions related
to the automated design and configuration of algorithms
in other areas such as machine learning, constraint
programming and games.
Topics of Interest
We invite all papers related to Self-* Search, in
particular (but no limited to) those in the following
subject areas:
- Adaptive differential evolution and particle swarm
optimisation
- Adaptive and co-evolutionary multimeme algorithms
- Adaptive and self-adaptive parameter control
- Adaptive operator selection
- Algorithm selection and portfolios
- Applications of self-* techniques to
multi-objective, dynamic, and
- complex real-world problems.
- Auto-constructive evolution
- Automated construction of heuristics and/or
algorithms
- Automatic algorithm configuration
- Autonomous control for search algorithms
- Computer-aided algorithm design
- Cross-domain heuristic search
- Evolving heuristics and/or algorithms
- Hyper-heuristics
- Meta-learning and meta-genetic programming
- Multi-level search
- Online learning for heuristic/operator selection
- Reactive search and intelligent optimization
How to Submit a
Paper
For detailed instructions, including categories,
keywords, and formatting requirements, visit http://www.sigevo.org/gecco-2013.
Program Committee
Márcio P. Basgallup
|
Federal University of São
Paulo, Brazil
|
Felipe Campelo
|
Universidade Federal de Minas
Gerais, Brazil
|
Michael G. Epitropakis
|
University of Stirling, Scotland,
UK
|
Emma Hart
|
Napier University, Scotland, UK
|
Frank Hutter
|
University of
British Columbia, Canada
|
Matthew Hyde
|
University of
East Anglia, UK
|
Oliver Kramer
|
University of
Oldenburg, Germany
|
Jiri Kubalik
|
CTU Prague, Czech Republic
|
Eunice Lopez-Camacho
|
ITESM, Monterrey, Mexico
|
Jorge Maturana
|
Universidad
Austral de Chile, Chile
|
David Meignan
|
University of Osnabrück,
Germany
|
Mustafa Misir
|
INRIA Saclay -
Île-de-France
|
Yew-Soon Ong
|
Nanyang Technological University,
Singapore
|
Rong Qu
|
University of
Nottingham, UK
|
Peter Ross
|
University of
Edinburgh, UK
|
Frédéric
Saubion
|
University of
Angers, France
|
Tom Schaul
|
New York University
|
Marc Schoenauer
|
INRIA Saclay,
France
|
Jerry Swan
|
University of Stirling, Scotland,
UK
|
Hugo Terashima
|
Tecnologico de
Monterrey, Mexico
|
| Heike Trautmann |
University of
Dortmund, Germany
|
Nadarajen Veerapen
|
University of Angers, France
|
Sébastien
Verel
|
INRIA Lille,
France
|
Track Chairs
| Gabriela
Ochoa |
gabriela.ochoa(at)cs.stir.ac.uk |
University of
Stirling, Scotland, UK |
| Gisele
L. Pappa |
glpappa(at)dcc.ufmg.br |
Federal
University of Minas Gerais, Brazil |
Important Dates
January
23, 2013
|
Paper submission
|
March 14, 2013
|
Notification of
paper acceptance
|
April 17, 2013
|
Camera-ready
submission
|
July 06-10, 2013
|
GECCO-2013Conference
|
Last Update: 26 December 2012, by Gabriela Ochoa
|
