A Selection and Comparison of Several Algorithms Implemented in the Pymoo Library

Abstract

In this paper, a selection and comparison of several algorithms implemented in the “pymoo” library have been utilized in the selection process of optimal Fuzzy Logic Controller (FLC) controlling a Differential Drive Wheeled Mobile Robot (DDWMR). The optimization of this FLC based on the minimum energy consumption criterion by using these algorithms has been implemented in the Google Colab® and Jupyter platforms using the Python language. The simulation results have shown that the NSGA-III_FLC has significantly better control performance than the others.