Ying-Pin Chang

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Particle swarm optimization (PSO) is a population-based heuristic optimization technique. It has been developed to be a prominent evolution algorithm due to its simplicity of implementation and ability to quickly converge to a reasonable solution. However, it has also been reported that the algorithm has a tendency to get stuck in a near-optimal solution in(More)
This report presents a method which combines an artificial neural network and a genetic algorithm (ANNGA) in the planning of large-scale passive harmonic filters (PHF) for a multi-bus system under abundant harmonic current sources. The objective is to minimize the cost of the filter, its power loss, the total demand distortion of harmonic currents and the(More)
This paper presents the hybrid differential evolution (HDE) in determining the tilt angle for photovoltaic (PV) modules. First, a Taguchi experiment was used to perform an efficient experimental design and analyze the robustness of the tilt angles for fixed south-facing PV modules. Following, the results from the Taguchi experiment were used as the initial(More)