title: Artificial intelligence programming with LabVIEW: genetic algorithms for instrumentation control and optimization.
abstract: A genetic algorithm for instrumentation control and optimization was developed using the LabVIEW graphical programming environment. The usefulness of this methodology for the optimization of a closed loop control instrument is demonstrated with minimal complexity and the programming is presented in detail to facilitate its adaptation to other LabVIEW applications. Closed loop control instruments have variety of applications in the biomedical sciences including the regulation of physiological processes such as blood pressure. The program presented here should provide a useful starting point for those wishing to incorporate genetic algorithm approaches to LabVIEW mediated optimization of closed loop control instruments.
authors.affiliation: Department of Human Genetics, University of Michigan Medical School, Ann Arbor 48109-0618, USA.
authors.forename: J H
authors.initials: JH
authors.lastname: Moore
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D005246:Feedback; D006801:Humans; D008991:Monitoring, Physiologic / Q000295:instrumentation*; D011381:Programming Languages; D012641:Selection, Genetic