A0157
Title: Multi-objective optimisation of restricted randomised designs
Authors: Kalliopi Mylona - King's College London (United Kingdom) [presenting]
Abstract: Scientists can now address scientific issues of increasing complexity thanks to modern experiments. Often, factors in experiments have levels that are more difficult to set than others, and in these cases, using a restricted randomised design offers a solution. There are numerous approaches to find optimal designs that focus just on maximising a specific criterion. To tackle the drawbacks of one-objective optimisation, multi-criteria techniques have been developed. We will present novel tools for the design of optimal experiments for multiple criteria, and we will show their application to motivating examples from the industry and pharmaceutical sciences.
