Conversion of a Simulator Written in C++ to JS and Optimizing the Simulation Parameters Using Evolutionary Algorithms

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