Monthly Archives - January 2016

Evostar 2014

Many real-world optimisation problems are characterised by some type of uncertainty that needs to be accounted for by the algorithm used to solve the problem. These uncertainties include noise (noisy optimisation), approximations (surrogate-assisted optimisation), dynamics (dynamic/online optimisation problems) as well as the requirement for robust solutions (robust optimisation) (more…)