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54 results for “Particle Swarm Optimization (PSO)”
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Research ArticleOpen accessIn the abstractA Deoxyribonucleic Acid Compression Algorithm Using Auto-Regression and Swarm IntelligenceWalid Aly, Basheer Yousif, Bassem ZohdyDNA compression challenge has become a major task for many researchers as a result of exponential increase of produced DNA sequences in gene databases; in this research we attempt to solve the DNA compression challenge by developing a lossless compression algorithm. The proposed algorithm works in horizontal mode using a substitutional-statistical technique which is based on Auto Regression modeling (AR), … …Journal of Computer Science, Vol. 9, Issue 6 · 30 May 2013 · 6,729 accessesView PDFCite
Research ArticleOpen accessIn the abstractReactive 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 accessIn the abstractEnhancement of Voltage Stability by Optimal Location of Static Var Compensator Using Genetic Algorithm and Particle Swarm OptimizationR. Kalaivani, V. KamarajProblem statement: Voltage instability and voltage collapse have been considered as a major threat to present power system networks due to their stressed operation. It is very important to do the power system analysis with respect to voltage stability. Approach: Flexible AC Transmission System (FACTS) is an alternating current transmission system incorporating power electronic-based and other static controllers to enhance … …American Journal of Engineering and Applied Sciences, Vol. 5, Issue 1 · 11 May 2012 · 9,443 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Optimized Device Sizing of Analog Circuits using Particle Swarm OptimizationP. Prem Kumar, K. DuraiswamyProblem statement: Day by day more and more products rely on analog circuits to improve the speed and reduce the power consumption(Products rely on analog circuits to improve the speed and reduce the power consumption day by day more and more.). For the VLSI implementation analog circuit design plays an important role. This analog circuit synthesis might be the most … …Journal of Computer Science, Vol. 8, Issue 6 · 19 Mar 2012 · 7,769 accessesView PDFCite
Research ArticleOpen accessIn the abstractCurve Fitting Using Conic by Evolutionary ComputingZainor Ridzuan Yahya, Abd Rahni Mt Piah, Ahmad Abd MajidProblem statement: A direct method, such as least squares technique is usually used to solve problems involving matching a curve or a surface to a set of data points. The solution obtained by this direct method is precise or very good in approximation, but computationally not very efficient. Thus, in this study, we propose an indirect approach using Particle Swarm … …Journal of Mathematics and Statistics, Vol. 8, Issue 1 · 7 Feb 2012 · 6,951 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization 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 accessIn the abstractA 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 accessIn the abstractGeometric Optimization of Three-Phalanx Prosthesis Underactuated Fingers using Particles Swarm AlgorithmSomar M. Nacy, Shaker S. Hassan, Sadeq Hussein BakhyProblem statement: One are now interested to investigate the optimum design procedure for a finger driving mechanism to have a good configuration of the finger for its utilization in hand prosthesis. A Geometric Optimization of Three-Phalanx Prosthesis Underactuated Fingers (TPPUF) based on a Particle Swarm Optimization (PSO) was presented. Approach: Firstly, a numerical evaluation of the human-like motion was obtained … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 2 · 30 Jun 2009 · 7,701 accessesView PDFCite
Research ArticleOpen accessIn the abstractDNA 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 accessIn the abstractMemory Convergence and Optimization with Fuzzy PSO and ACSSubhash C. Pandey, Dr. P. MisraAssociative neural memories are models of biological phenomena that allow for the storage of pattern associations and the retrieval of the desired output pattern upon presentation of a possibly noisy or incomplete version of an input pattern. In this study, we introduce fuzzy swarm particle optimization technique for convergence of associative neural memories based on fuzzy set theory. A Fuzzy … …Journal of Computer Science, Vol. 4, Issue 2 · 28 Feb 2008 · 7,169 accessesView PDFCite