Thursday 05 Dec 2013Heuristic Footprints - tracking heuristic behaviour

Dr. Kent McClymont - Computer Science, University of Exeter

Harrison 103 15:00-16:00

Iterative heuristic search methods like Particle Swam Optimisation are commonly referred to as exploring the space of potential solutions in a search for the optima. The search can be thought of a set of moves across the problem landscape. These moves can be tracked and characterised as behaviours. Many new adaptive optimisation methods use some aspect of this behaviour to adapt their search.

This talk will examine some of the characteristics that can be used to aid adaptive search. A theoretical basis for these characteristics are prosed which would provide a foundation for new adaptive optimisation techniques.

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