- Applications of evolutionary algorithm hyper-heuristics
- Theoretical aspects of evolutionary algorithm hyper-heuristics
- Evolutionary algorithm hyper-heuristics for algorithm design
- Evolutionary algorithm hyper-heuristics for the derivation of hybrid methods
- Hybridization of evolutionary algorithm hyper-heuristics, i.e. the design of hyper-hyper-heuristics using evolutionary algorithms
- Cross domain applications of evolutionary algorithm hyper-heuristics
- Parallelization of evolutionary algorithm hyper-heuristics
Important DatesPaper submission deadline: December 19, 2014
Paper acceptance notification: February 20, 2015
Final paper submission deadline: March 13, 2015
Early registration: March 13, 2015
Paper SubmissionSpecial session papers are treated the same as regular papers and must be submitted via the CEC 2015 submission website. When submitting choose the "Evolutionary Algorithm in Hyper-Heuristics" special session from the "Main Research Topic" list.
OrganizersNelishia Pillay, School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, South Africa
Nelishia Pillay is an associate professor in the School of Mathematics, Statistics and Computer Science at the University of KwaZulu-Natal. Her research areas include hyper-heuristics, combinatorial optimization, genetic programming, genetic algorithms and other biologically-inspired methods. She has published in these areas in journals, national and international conference proceedings. She is a member of the IEEE Task Force on Hyper-Heuristics with the Technical Committee of Intelligent Systems and Applications at IEEE Computational Intelligence Society and the Technical Committee on Soft Computing under the IEEE Systems, Man, and Cybernetics Society. She has served on program committees for numerous national and international conferences and is a reviewer for various international journals. She is an active researcher in field of evolutionary algorithm hyper-heuristics and the application thereof to combinatorial optimization problems. This is one of the focus areas of the NICOG(Nature-Inspired Computing Optimization) research group which she has established.
Rong Qu, School of Computer Science, University of Nottingham, United Kingdom
Dr Qu is an associate professor in the Automated Scheduling, Optimisation and Planning (ASAP) research group in the School of Computer Science in University of Nottingham. Her main research interests include meta-heuristic algorithms, knowledge based methodologies and constraint programming on modelling and solving complex optimisation and scheduling problems. She has published more than 40 refereed papers in international journals including Journal of Scheduling, Journal of Operational Research Society, European Journal of Operational Research, Journal of Heuristics and INFORMS Journal of Computing, etc. Dr Qu is a guest editor of a special issue on Artificial Intelligence Planning and Scheduling at the Journal of Scheduling. She is an invited speaker at the workshop of Self-tuning, self-configuring and self-generating search heuristics at the 11th International Conference on Parallel Problem Solving from Nature (PPSN 2010). She is the task force chair of Evolutionary Computation in Scheduling and Combinatorial Optimisation (2007-2021) and Hyper-heuristics (2013-) at IEEE CIS. Dr Qu is the program chair of five workshops or symposiums, and acted on the programme committee for more than 10 international conferences since 2010.