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Notice

AISB miscellaneous Bulletin Item

CFP: special issue on "Theoretical Foundations of Evolutionary Computation"


Contact:

Special Issue on "Theoretical Foundations of Evolutionary Computation"
in Theoretical Computer Science (Elsevier)

*EXTENDED* Submission Deadline: October 30, 2009.


Guest Editors:

Per Kristian Lehre, University of Birmingham, UK. p.k.lehre@cs.bham.ac.uk
Frank Neumann, Max Planck Institute for Informatics, Germany. fne@mpi-inf.mpg.de
Jonathan E. Rowe, University of Birmingham, UK. j.e.rowe@cs.bham.ac.uk
Xin Yao, University of Birmingham, UK. x.yao@cs.bham.ac.uk


Description:

The  theory  of  evolutionary  computation  (including,  for  example,
run-time analysis of evolutionary algorithms, population dynamics, and
fitness landscape  analysis) has grown  rapidly in recent  years. Many
papers  have appeared  in the  last few  years on  various  aspects of
evolutionary computation  theory. However,  most of these  papers were
scattered  among  different   journals  in  evolutionary  computation,
operations  research   and  computer  science,   addressing  different
theoretical issues. It is high time to bring all such theoretical work
together  and examine the  fundamental challenges  in a  single venue.
The  primary  aim  of this  special  issue  is  to report  the  latest
development  in   foundations  of  evolutionary   computation.  It  is
envisaged  that  this special  issue  will  serve  as a  milestone  in
reporting  the  latest breakthroughs  and  setting  new directions  in
evolutionary computation.

Potential  authors are  invited to  submit papers  describing original
contributions to foundations  of evolutionary computation. Although we
are most interested  in theoretical foundations, computational studies
of a foundational nature  may be considered. We interpret evolutionary
computation  in a broad  sense in  this special  issue to  include all
meta-heuristics  such as  evolutionary algorithms,  swarm intelligence
(e.g.,  ant  colony  optimisation  and particle  swarm  optimisation),
differential evolution, culture algorithms, artificial immune systems,
etc. This  special issue will consider  papers on a  number of topics,
including  but not limited  to, population  dynamics, self-adaptation,
run-time analysis  of meta-heuristics, fitness  landscapes and problem
difficulty, and no  free lunch theorems.  All problem  domains will be
considered,  including   combinatorial  and  continuous  optimisation,
single-objective   and   multi-objective   optimisation,   constrained
handling,  dynamic  and   stochastic  optimisation,  co-evolution  and
evolutionary learning.


Submission:

Authors should  submit their  manuscripts to the  Theoretical Computer
Science Editorial Manager at http://ees.elsevier.com/tcs/ and indicate
"Special Issue: T.  F. Evolut. Comp. (Yao)" for  their submission. All
submitted papers must  be the original work, not  published before nor
under consideration by another journal or conference.