Van Thuan Pham, A. Stefek, V. Křivánek, Khac Lam Pham
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引用次数: 0
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.
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