Call for Papers: Foundations of Genetic Algorithms (FOGA 2015)

The 13th ACM-SIGEVO Foundations of Genetic Algorithms (FOGA 2015)
17-20 January 2015, Aberystwyth, Wales, UK

http://www.sigevo.org/foga-2015

Deadline for paper submission: 15 August, 2014

Organisers:
Jun He, Aberystwyth University, jqh@aber.ac.uk
Thomas Jansen, Aberystwyth University, t.jansen@aber.ac.uk
Gabriela Ochoa, University of Stirling, gabriela.ochoa@cs.stir.ac.uk
Christine Zarges, University of Birmingham, c.zarges@cs.bham.ac.uk

We invite submissions to FOGA 2015, the 2015 ACM/SIGEVO Foundations of Genetic
Algorithms XIII,which will be held 17–20 January 2015 in Aberystwyth, Wales, UK.
FOGA is the premier event on the theoretical foundations of evolutionary
computation and all kinds of randomised search heuristics, including but not
limited to evolutionary algorithms, ant colony optimisation, artificial immune
systems and particle swarm optimisation. Accepted papers will be published in
post-conference proceedings by ACM Press.

Authors should submit their papers (15 page maximum) consistent with the
alternate ACM SIG style file by the submission deadline (for the class file and
templates see http://www.acm.org/sigs/publications/proceedings-templates).
Submissions are made through EasyChair:

https://www.easychair.org/conferences/?conf=foga2015

Preliminary versions of the accepted papers will be distributed to participants
at FOGA. Authors of papers presented at the FOGA workshop will be asked to
contribute final versions of their papers as part of the post-conference
proceedings published by ACM.

The goal of FOGA is to advance the theoretical understanding of evolutionary
computation and all kinds of randomised search heuristics, promote theoretical
work to the wider community and contribute to making randomised search heuristics
more useful in practice. We particularly encourage submissions bridging theory
and practice. In addition to strict mathematical investigations, experimental
studies contributing towards the theoretical foundations of evolutionary
computation methods are also welcome. Topics include but are not limited to
runtime analysis; fitness landscapes and problem difficulty; single- and multi-
objective optimisation problems; stochastic and dynamic environments; population
dynamics; statistical approaches; self-adaptation; black-box complexity; working
principles of all kinds of randomised search heuristics.

FOGA 2015 is sponsored by ACM SIGEVO.