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Optimization problems are widely encountered in various fields in science and technology. The fact that most optimization problems, when modeled accurately, are of non-convex and sometimes discrete nature has encouraged many researchers to develop new optimization techniques to overcome such difficulties. Particle Swarm Optimization (PSO) is one of the newly developed optimization techniques with...
Parameter identification of proton exchange membrane (PEM) fuel cells using quantum-based optimization method (QBOM) is presented in this paper. The QBOM is an algorithm that is adapted from certain elements of quantum computing aimed for use in a wider class of search and optimization problems. QBOM is composed of qubits and quantum gates. The quantum gate evolves the qubits until the desired objective...
A novel approach for maximum power tracking of photovoltaic power systems is presented in this paper. This maximum power point tracking controller is based on the theory of support vector machine (SVM) to estimate the solar insolation without any outdoor measurements. The inputs of SVM estimator are chosen as the photovoltaic output voltage and power. The proposed controller is robust to environmental...
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