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OR60 Stream - Metaheuristics

Stream Organisers

Andrew Parkes
(more information)


Ender Özcan
(more information)



Stream Definition

We invite abstracts and presentations, either theory or practice-oriented (preferably on real world applications) that discuss any of (but not limited to) the issues of:

  • Metaheuristics including evolutionary or population based methods (genetic algorithms, memetic algorithms, genetic programming, particle swarm optimisation, etc.).
  • Systems to build systems, particularly (meta/hyper-)heuristics or any other related (adaptive, self-tuning, reactive, self-improving, etc.) methods.
  • Interplay between data science (machine learning, statistics, etc.) and metaheuristics.
  • Developing the analytical /theoretical understanding of (meta/hyper-)heuristics.

We are particularly interested in:

  • Methods that are based on or improved/integrated with data science techniques and/or allow a more general use of meta-heuristics and heuristics e.g. hyper-heuristics or adaptive search control systems.
  • Analyses that lead to some insight into the behaviour of one or more metaheuristics. For example, but not limited to, landscape analysis, stochastic analysis methods or modeling.

Please do not hesitate to contact us directly if you are unsure as to whether a particular topic would be appropriate.


Andrew Parkes

Dr. Andrew Parkes obtained a Ph.D. in theoretical physics in 1984 from King's College of the University of London. He then held research positions at University of Southampton, CERN (the particle physics accelerator and research laboratory at Geneva, Switzerland), the University of California at Davis, USA, and the ETH in Zurich, Switzerland. He was a faculty member of the Computational Intelligence Research Laboratory at the University of Oregon. In 2005 he joined the Automated Scheduling, Optimisation and Planning Research Group (ASAP) within the School of Computer Science of the University of Nottingham where he researched the management and planning of teaching space facilities within educational institutions.  Since 2007 he has been a Lecturer in Operational Research and Computer Science at the University of Nottingham. He was also on the organising committee for the 2007 International Timetabling competition. He is a co-inventor on two patents and has many refereed international publications.

Ender Özcan

Dr Ender Özcan is a lecturer in Operational Research and Computer Science with the Automated Scheduling, Optimisation and Planning (ASAP) research group in the School of Computer Science at the University of Nottingham. His research interests and activities lie at the interface of Operational Research and Computer Science (Artificial Intelligence) with a focus on intelligent decision support systems combining data science techniques and heuristics/hyper-heuristics/metaheuristics applied to real world problems. Currently, Dr Özcan is the Deputy Director of the EPSRC's National Taught Course Centre in Operational Research (NATCOR). He is Steering Committee member and Executive Officer of the International Conference Series on the Practice and Theory of Automated Timetabling (PATAT). He is the co-chair of a newly established EURO working group on Data Science meets Optimisation. Dr Özcan is also Associate Editor of the Journal of Scheduling, IEEE Transactions on Emerging Topics in Computational Intelligence and International Journal of Applied Metaheuristic Computing.


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