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83 results for “particle swarm”
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Research ArticleOpen accessPhrase in the titlePeak-to-Average Power Ratio Reduction Using Active Constellation Extension-Projection Onto Convex Sets Combined with Particle Swarm Optimization Added to Space Time Bloc Coding in Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing SystemAhmed Ouqour, Abdelhamid Louliej, Younes Jabrane et al.When generated Orthogonal Frequency Division Multiplexing (OFDM) signal is transmitted through a number of antennas in order to achieve diversity or cap any gain (higher transmission rate) then it is known as Multiple Input Multiple Output (MIMO)-OFDM. The full form of MIMO is multi input and multi output where signals are transmitted via multiple antennas instead of only one antenna … …Journal of Computer Science, Vol. 8, Issue 12 · 12 Dec 2012 · 6,995 accessesView PDFCite
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 · 7,146 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 · 6,842 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 · 7,440 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 · 7,245 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleTuning of a Proportional-Integral-Derivative Controller using Multi-Objective Non Dominated Sorting Particle Swarm Optimization Applied to pH Control in Continuous Stirred Tank ReactorC. Agees Kumar, N. Kesavan NairProblem statement: Most of the control engineering problems are characterized by several, contradicting, conflicting objectives, which have to be satisfied simultaneously. Two widely used methods for finding the optimal solution to such problems are aggregating to a single criterion and using Pareto-optimal solutions. Approach: Non-Dominated Sorting Particle Swarm Optimization algorithm (NSPSO) based approach is used in the design of multiobjective … …American Journal of Applied Sciences, Vol. 8, Issue 8 · 19 Jul 2011 · 6,793 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 · 7,332 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 · 7,987 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 · 7,477 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 · 7,139 accessesView PDFCite