Special Issue on  “Theoretical Foundations of Evolutionary Computation”  in Theoretical Computer Science (Elsevier)  Submission Deadline: September 30, 2009.    Guest Editors:    Per Kristian Lehre, University of Birmingham, UK. [email protected]  Frank Neumann, Max Planck Institute for Informatics, Germany.  fne@mpi‐inf.mpg.de  Jonathan E. Rowe, University of Birmingham, UK. [email protected]  Xin Yao, University of Birmingham, UK. [email protected] 

  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  online  submission  system  at  http://ees.elsevier.com/tcs/  and  choose  "Special  Issue:  T.  F.  Evolut.  Comp.  (Yao)"  when  reaching  the  Article  Type  stage.  First  time  user  of  the  system  must  register  themselves  as  Author.  All  submitted  papers  must  be  the  original  work,  not  published  before  nor  under  consideration by another journal or conference.   

Theoretical Foundations of Evolutionary Computation

Per Kristian Lehre, University of Birmingham, UK. [email protected]. Frank Neumann, Max Planck Institute for Informatics, Germany. [email protected].de. Jonathan E. Rowe, University of Birmingham, UK. [email protected]. Xin Yao, University of Birmingham, UK. [email protected]. Description: The theory ...

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