Tuesday, 14 June 2011

Extended submission deadline: Special Issue on Evolutionary Computation in Scheduling at IEEE Transactions on Evolutionary Computation

[Due to a number of requests, the submission deadline of the Special
Issue on Evolutionary Computation in Scheduling at IEEE TEVC has been
extended to /*29th June 2011*/]

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Call for Papers

/*IEEE Transactions on Evolutionary Computation*/

Special issue on
/*Evolutionary Computation in Scheduling*/

Extended submission deadline: /*29th June 2011*/

http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05749445
http://www.cs.nott.ac.uk/~rxq/files/IEEE-TEVC-sched-cfp.pdf
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/*Aims and Topics*/

 This special issue aims to bring together the latest research advances
 in investigating and understanding algorithms in evolutionary
 computation for solving a wide range of scheduling problems. We invite
 papers representing high quality research which reflects the recent
 advances of evolutionary computation in scheduling and demonstrates
 state-of-the-art theory and practice in this area.

 Please note that work on simple applications of evolutionary algorithms,
 without fundamental investigations on the theory of evolutionary
 computation in scheduling, will not be considered for this special
 issue. We will also not accept papers that use computational
 intelligence methods lacking any evolutionary computation component.

 Authors are encouraged to submit their original work on the following
 (but not limited to) topics:

 - Evolutionary computation in:
  * Production scheduling
  * Personnel scheduling
  * Sports scheduling
  * Educational timetabling
  * Project scheduling
  * Transportation scheduling
  * Dynamic scheduling and rescheduling
  * Other scheduling problems
 - Theoretical or empirical analysis of evolutionary algorithms in
 scheduling
 - Representation issues in evolutionary scheduling
 - Complexity issues of evolutionary algorithms in scheduling
 - Comparison and integration of other techniques with evolutionary
 approaches in scheduling. Integrations with cross-discipline techniques
 including exact methods, meta-heuristics, computational intelligence and
 decision support methodologies, etc, are strongly encouraged.
 - Multi-objective evolutionary algorithms in scheduling
 - Adaptive evolutionary algorithms in scheduling
 - Cooperative search of evolutionary algorithms in scheduling
 - Parallel distributed processing / frameworks in scheduling

/*Important Dates*/

 29 June 2011:        Submission deadline (extended)
 1 October 2011:      Notice of the first round review
 15 December 2011:    Revision due
 29 February 2012:    Final notice of acceptance / reject
 15 April 2012:       Final manuscript due

/*Guest editors*/

 Dr Rong Qu
 School of Computer Science, University of Nottingham, NG8 1BB, UK
 Prof. Graham Kendall
 School of Computer Science, University of Nottingham, NG8 1BB, UK
 A/Prof. Kay Chen Tan
 Department of Electronic and Computer Engineering, National University
 of Singapore, Singapore 117576

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