Parametric Yield and Tolerance Optimisation of Electromagnetic Devices using Feature-based Non-Linear Partial Least Squares Polynomial Chaos Expansion Surrogates by Nfanyana, Ketshabile

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Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems by Nwachukwu, Sampson

“…Even though these methods work well under uniform irradiation, they usually experience power oscillations close to the MPP, drift problems, slower tracking speed, and often fail to track the solar PV GMPP when partial shading is present. Recently, metaheuristic optimization algorithms, including particle swarm optimization (PSO), genetic algorithm (GA), etc., have been used to deal with the limitations of classical methods. …”
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Modelling and Tracking of the Global Maximum Power Point in Shaded Solar PV Systems Using Computational Intelligence by Sagonda, Arnold Farai

“…The algorithms are tested under different weather conditions including partial shading. The Particle Swarm and Firefly algorithm performed relatively the same and were chosen to be the best under all test conditions as they were the most efficient and were able to track the global maximum power point under partial shading. …”
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A neurocontrol paradigm for intelligent process control using evolutionary reinforcement learning by Conradie, Alex van Eck

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Development of infrared spectroscopic methods to assess table grape quality by Daniels, Andries Jerrick

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