GECCO 2013  Self-* Search Track

  Genetic and Evolutionary Computation Conference (GECCO-2013), 

July 06-10, Amsterdam, The Netherlands

GECCO 2013
Topics of Interest
How to Submit a Paper
Program Committee
Track Chairs
Important Dates

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

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) University of Stirling, Scotland, UK
Gisele L. Pappa glpappa(at) 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
Last Update: 26 December 2012, by Gabriela Ochoa