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80 results for “Particle Swarm Optimization”
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Research ArticleOpen accessPhrase in the titleHybrid Exponential Particle Swarm Optimization K-Means Algorithm for Efficient Image SegmentationK. M. Murugesan, S. PalaniswamiThe introduction of unsupervised learning techniques like K-means inside the domain of Image Processing plays a vital role in Image Segmentation. The hybridization of this Algorithm by using Swarm Intelligent techniques further more improves the efficiency. Various works on hybridization of Particle Swarm Optimization (PSO) with K-means have been proposed and are found to be efficient in Image Segmentation. However, … …Journal of Computer Science, Vol. 8, Issue 11 · 25 Oct 2012 · 7,141 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleReactive Power Optimization Using Quantum Particle Swarm OptimizationK. S. Chandragupta Mauryan, K. Thanushkodi, A. SakthisuganyaProblem statement: The problem of controlling a power system is not an easy task; it is subjected to various constraints. There are at risks of voltage instability problems due to highly stressed operating conditions caused by increased load demand and other constraints in the power system network. Approach: This study presents the implementation of Quantum Particle Swarm Optimization (QPSO) in … …Journal of Computer Science, Vol. 8, Issue 10 · 24 Aug 2012 · 6,837 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleSpeed Control of Switched Reluctance Motor Using New Hybrid Particle Swarm OptimizationT. V. Mahendiran, K. Thanushkodi, P. ThangamProblem statement: The main objective of this research is to obtain the speed control of switched reluctance motor with minimum settling time and without overshoot. Approach: A new algorithm has been developed with the combination of differential evolution and particle swarm optimization and applied for speed control of switched reluctance motor under sudden change in speed. Also speed control of … …Journal of Computer Science, Vol. 8, Issue 9 · 10 Aug 2012 · 7,436 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleReduction of Key Search Space of Vigenere Cipher Using Particle Swarm OptimizationGanapathi Sivagurunathan, T. PurusothamanProblem statement: With the demand for effective network security is increasing, it becomes necessary to find the strength and weaknesses of the existing cryptographic methods. Vigenere cipher, a classical cipher is analyzed for its strength against a cipher only attack. Approach: The cipher texts so selected were of various sizes up to 1 Kb. A biologically inspired algorithm, Particle Swarm … …Journal of Computer Science, Vol. 7, Issue 11 · 18 Aug 2011 · 7,234 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleParticle Swarm Optimization Approach for Optimal Design of Switched Reluctance MachineMahadevan Balaji, Vijayarajan KamarajProblem statement: Switched Reluctance Motors (SRMs) are widely used in various applications due to their inherent simplicity and rugged construction In SRM, torque output and torque ripple are sensitive to stator and rotor pole arcs and their selection is a vital part of SRM design process. In this study Particle Swarm Optimization technique is proposed for determining optimum pole arc … …American Journal of Applied Sciences, Vol. 8, Issue 4 · 18 Apr 2011 · 7,328 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleOptimization of Capacitated Vehicle Routing Problem by Nested Particle Swarm OptimizationKaruppusamy Kanthavel, Paruchuri PrasadProblem statement: Vehicle routing problem determines the optimum route for each vehicle as a sequence of visiting cities. The problem has been defined as NP-hard and exact solution is relatively difficult to achieve for real time large scale models. Though several attempts to solve the problem were made in the literature, new approaches may be tried to solve the problem … …American Journal of Applied Sciences, Vol. 8, Issue 2 · 28 Feb 2011 · 7,978 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Particle Swarm Optimization Based Edge Preserving Impulse Noise FilterS. Mohamed Mansoor Roomi, P.L. Muthu Karuppi, P. Rajesh, B. Guru RevathiProblem statement: Image sensors and communication channels often introduce impulse noise in image transmission. The most common filters available to remove such noise are median filter and its variants but the major drawbacks identified with them are blurring of edge detail and low noise suppression. To preserve the sharp and useful information in the image, the filtering algorithms are required … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 7,470 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleImproving Term Extraction Using Particle Swarm Optimization TechniquesMohammad Syafrullah, Naomie SalimProblem statement: Term extraction is one of the layers in the ontology development process which has the task to extract all the terms contained in the input document automatically. The purpose of this process is to generate list of terms that are relevant to the domain of the input document. In the literature there are many approaches, techniques and algorithms … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,138 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleDNA Sequence Optimization Based on Continuous Particle Swarm Optimization for Reliable DNA Computing and DNA NanotechnologyN. K. Khalid, Z. Ibrahim, T. B. Kurniawan et al.Problem statement: In DNA based computation and DNA nanotechnology, the design of good DNA sequences has turned out to be an essential problem and one of the most practical and important research topics. Basically, the DNA sequence design problem is a multi-objective problem and it can be evaluated using four objective functions, namely, Hmeasure, similarity, continuity and hairpin. Approach: There … …Journal of Computer Science, Vol. 4, Issue 11 · 30 Nov 2008 · 7,046 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleRule Extraction from Radial Basis Functional Neural Networks by Using Particle Swarm OptimizationM. R. Senapati, I. Vijaya, P. K. DashRadial basis functional neural networks (RBFNN) provide an outstanding possibility for generating rules for solving pattern classification problems. One of the most important factors in RBFNN is finding out the center and spread. This paper examines rules extracted from RBF networks trained by Particle swarm Optimization (PSO). The selection of the RBFNN centers, spreads and the network weights can be … …Journal of Computer Science, Vol. 3, Issue 8 · 31 Aug 2007 · 6,784 accessesView PDFCite