A0648
Title: Searching for optimal design of experiments
Authors: Kalliopi Mylona - King's College London (United Kingdom) [presenting]
Abstract: Finding an optimal experimental design is computationally challenging, particularly in high-dimensional spaces or multi-objective problems. Real-world applications frequently involve competing design criteria that must be jointly balanced. Other optimal experimental designs may involve factors that have a functional nature. Examples can be found in the pharmaceutical industry, the environment, engineering, chemistry, and more. Algorithmic tools that provide a balance between computing speed and efficiency are presented, providing the framework for more reliable design processes.
