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In this paper, it is proposed to design constrained particle swarm optimization as sub-swarms. Our aim is to avoid drawbacks of linear particle swarm optimization (LPSO) and to reduce the variance between outputs of converging linear particle swarm optimization (CLPSO) outputs. For this purpose, instead of one and whole swarm started in LPSO and CLPSO equal sized sub-swarms are used and each sub-swarm...
A soft sensor was developed to estimate the concentrate grade and recovery rate of a flotation circuit. The algorithm uses kernel principal component analysis (KPCA) and composite kernel support vector regression (CK-SVR) to perform the estimation. Firstly, the flotation prior knowledge and KPCA are employed to reduce the dimension of input vector of CK-SVR. Then, considering that the characteristics...
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