OR63: Metaheuristics

In this stream we will cover techniques that constitute metaheuristic algorithms that range from simple local search procedures to complex learning processes.

We are particularly interested in methods that are based on improved/integrated data science techniques and/or allow more general use of metaheuristics and heuristics. For example, hyper-heuristics or adaptive search control systems.

We will explore analyses that lead to some insight into the behaviour of one or more metaheuristics. For example,  landscape analysis, stochastic analysis methods or modelling and much more.

We're now looking for OR professionals, data scientists, professors, researchers, analysts, engineers, etc., to present at this event. Submit your 300-word presentation summary on metaheuristics by the now extended deadline of the 25th of June to join our expert OR63 speakers!

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We invite abstracts and presentations, either theory or practice-oriented (preferably on real-world applications) that discuss any (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;
• The interplay between data science (machine learning, statistics, etc.) and metaheuristics;
• Developing the analytical /theoretical understanding of (meta/hyper-)heuristics.  

Submit your 300-word summary now to speak at our metaheuristics stream. 

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Meet the stream organisers

If you have questions especially whether a particular topic would be appropriate, please contact the stream organisers by using their details below. 

Ender Ozcan, 
Nottingham University
Ender.Ozcan@nottingham.ac.uk

Andrew Parkes, 
Nottingham University
Andrew.Parkes@nottingham.ac.uk