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Inertia weight is one of the most important adjustable parameter of particle swarm optimization (PSO). The proper selection of inertia weight can prove a right balance between global search and local search. In this paper, two novel PSOs with non-linear inertia weight based on the tangent function and the arc tangent function are provided, respectively. The performance of the proposed PSO model is...
Perfectly matched layer (PML) has played a critical role in the development of Finite Difference Time Domain (FDTD) method, ever since it was proposed by Berenger in 1994. The formulation of PML has evolved from the original split-field PML approach to the time-convolution PML combining. The PML with the FDTD algorithm has enabled us to solve many engineering problems such as scattering, radiation,...
The selection for hyper-parameters is difficult and important to the performance of least squares support vector machines (LS-SVM). The existed parameters selection algorithms, such as the analytical, algebraic techniques and particle swarm optimization (PSO) algorithm, have their own shortcomings. In this paper, the problem of model selection for LS-SVM is discussed and a new method selecting the...
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