School of
Information Technology and Electrical Engineering

Dynamic Vision Sensor (DVS) data sets

Metaheuristic Optimization and Evolutionary Algorithms

Optimization problems (e.g. minimizing cost, maximizing efficiency) are of fundamental and practical importance. Metaheuristics attempts to solve challenging optimization problems with minimal assumptions, incorporating and combining techniques inspired by nature, statistical modeling, artificial intelligence and mathematics. Our research is particularly focused on developing techniques to better understand the relationship between difficult optimization problems and algorithm performance.

Publications

Gibson, T. A. et al.(2014). Event-Based Visual Data Sets for Prediction Tasks in Spiking Neural Networks. In Artificial Neural Networks and Machine Learning–ICANN 2014 (pp. 635-642). Springer International Publishing.