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This paper presents a novel technique for power quality disturbance classification. Wavelet transform (WT) has been used to extract some useful features of the power system disturbance signal and discrete harmony search with modified differential mutation operator (DHS_MD) have been used for feature dimension reduction in order to achieve high classification accuracy. Next, a probabilistic neural...
Theoretical analysis of mataheuristic algorithms is believed to be very important for understanding their internal search mechanism and thus to develop more efficient algorithms. In this article we present a simple mathematical analysis of the explorative search behavior of a recently developed metaheuristic algorithm called invasive weed optimization (IWO). IWO is a novel ecologically inspired algorithm...
Particle swarm optimization (PSO) has recently emerged as a simple yet very efficient algorithm for global optimization over continuous spaces. This article describes the application of an improved variant of PSO to the segmentation of objects from complicated real life images. The segmentation task amounts to finding a robust and optimal threshold that separates an object from a background frame...
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