Experimental design and optimisation (5): an introduction to optimisation

Abstract

Once a suitable experimental design has been used to find the most important factors affecting the outcome of an experiment, and maybe to find any significant interactions between them, we can use an optimisation method to find the best levels (values) for those factors. This Technical Brief outlines the basic principles of optimisation, and introduces some of the most commonly used approaches.