Reactive power optimization is important to ensure power quality, improve system security, and reduce active power loss. So, this paper proposed parallel immune particle swarm optimization (PIPSO) algorithm. This algorithm makes basic particle swarm optimization (BPSO) and discrete particle swarm optimization (DPSO) to optimize in parallel, and improves the convergence capability of particle sw...

Recent advances in technology has led to huge growth in generating high dimensional data sets by capturing millions of facts in various fields, time phases, localities and brands. Microarray data contains gene expression from thousands of genes (features) from only tens of hundreds of samples. The rich source of information generated from microarray experiments often consist of incomplete and/o...

clustering is a widespread data analysis and data mining technique in many fields of study such as engineering, medicine, biology and the like. the aim of clustering is to collect data points. in this paper, a cultural algorithm (ca) is presented to optimize partition with n objects into k clusters. the ca is one of the effective methods for searching into the problem space in order to find a n...

shear-wave velocity ( ) is an important parameter used for site characterization in geotechnical engineering. however, dispersion curve inversion is challenging for most inversion methods due to its high non-linearity and mix-determined trait. in order to overcome these problems, in this study, a joint inversion strategy is proposed based on the particle swarm optimization (pso) algorithm. the ...

The objective of this thesis is to investigate how to improve Particle Swarm Optimization by hybridization of stochastic search heuristics and by a Self-Organized Criticality extension. The thesis will describe two hybrid models extending Particle Swarm Optimization with two aspects from Evolutionary Algorithms, recombination via breeding and gene flow restriction via subpopulations. A further ...

Healthcare and disease detection in early stage is important every human being. Proper optimum of with smart controller done using Particle swarm optimization (PSO) Support Vector Machine (SVM). The research includes the Fuzzy Proportional Integral Derivative (Fuzzy PID) was used support vector machine to classify heart disease. Swarm Optimization designed remove noise introduced Electrocardiog...