Use of genetic algorithms in experimental design optimization and thermal property estimation

Abstract

The goal of this paper is both to introduce the fields of experimental design optimization and thermal property estimation and to present Genetic Algorithm (GA) optimization method to the faculty of PUPR. This research environment is part of an ongoing overall research effort conducted at the Virginia Polytechnic Institute and State University (Virginia Tech) with an aim to instrument a complex structure and acquire meaningful thermal property data. Some preliminary work demonstrates that the GA method is a powerful means for both design optimization and parameter estimation.