Date of Award
December 2018
Degree Type
Thesis
Degree Name
Master of Science
Department
Computer Science
First Advisor
Mukul Goyal
Committee Members
Susan McRoy, Ethan Munson
Abstract
A discrete event simulator written in C++ is converted in to Java Script, that tracks the
blood glucose level of a person in response to a timed sequence of diet and exercise activities. Its
main objective is to capture the average impact of the various diet/exercise activities on the blood
glucose level. The main aim for translation of the code in to Java Script is that the simulator can
be hosted on the Google Firebase Cloud and can be available for the public use. The optimization
of the simulator parameters such as excretionKidney_impact, glut4Impact_,
glycolysisMinImpact_, gngImpact_, peakinsulinLevel_, glycolysisMaxImpact_,
liverGlycogenBreakdownImpact_ and liverGlycogensyntheis_Impact is done using evolutionary
algorithms, where the simulator is given base blood glucose level and peak blood glucose level as
the input parameters to the simulator. The output produced from the evolutionary algorithms are
compared and the best one is recommended
Recommended Citation
Lottala, Venkata Sivasai Pavan Kumar, "Conversion of a Simulator Written in C++ to JS and Optimizing the Simulation Parameters Using Evolutionary Algorithms" (2018). Theses and Dissertations. 1998.
https://dc.uwm.edu/etd/1998