The nature of statistical learning theory
The nature of statistical learning theory
Expert Systems with Applications: An International Journal
The forecasting model based on wavelet ν-support vector machine
Expert Systems with Applications: An International Journal
Middle-long power load forecasting based on particle swarm optimization
Computers & Mathematics with Applications
Expert Systems with Applications: An International Journal
Power load forecasts based on hybrid PSO with Gaussian and adaptive mutation and Wv-SVM
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Expert Systems with Applications: An International Journal
Engineering Applications of Artificial Intelligence
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Due to the slow convergence of Gaussian particle swarm algorithm (GPSO) during parameters selection of support vector machine (SVM), this paper proposes a novel PSO with hybrid mutation strategy. Since random number generated from Cauchy distribution has better convergence characteristic than ones from Gaussian distribution during mutation strategy. Cauchy mutation is applied to amend the decision-making variable of Gaussian PSO. The adaptive mutation based on the fitness function value and the iterative variable is also applied to inertia weight of PSO. The results of application in parameter selection of support vector machine show the proposed GPSO with Cauchy mutation strategy is feasible and effective, and the comparison between the method proposed in this paper and other ones is also given, which proves this method is better than Gaussian PSO.