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83 results for “particle swarm”
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Research ArticleOpen accessIn the keywordsA New Hybrid Approach for Heterogeneous Radio Access Technology SelectionJ. Preethi, S. PalaniswamiProblem statement: The Next generation wireless networks are heterogeneous in nature where different Radio Access Technologies (RAT) coexists in the same coverage area. The user terminal should be able to pick the best access technology such as Wireless Local Area Network (WLAN), Wireless Wide Area Networks (WWAN), the Universal Mobile Telecommunication Systems (UMTS) and the Global System for Mobile Telecommunication … …Journal of Computer Science, Vol. 8, Issue 5 · 2 Mar 2012 · 7,040 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Evolutionary Algorithmic Approach based Optimal Web Service Selection for Composition with Quality of ServiceD. Palanikkumar, G. KousalyaProblem statement: Web service is a technology that provides flexibility and interconnection between different distributed applications over the Internet and intranets. When a client request cannot be satisfied by any individual service, existing web services can be combined into a composite web service. When there are a large number of Web services available, it is not easy to find an … …Journal of Computer Science, Vol. 8, Issue 4 · 10 Feb 2012 · 6,766 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCurve 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 · 6,955 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA New Cooperative Algorithm Based on PSO and K-Means for Data ClusteringMehdi Neshat, Shima Farshchian Yazdi, Daneyal Yazdani, Mehdi SargolzaeiProblem statement: Data clustering has been applied in multiple fields such as machine learning, data mining, wireless sensor networks and pattern recognition. One of the most famous clustering approaches is K-means which effectively has been used in many clustering problems, but this algorithm has some drawbacks such as local optimal convergence and sensitivity to initial points. Approach: Particle Swarm Optimization … …Journal of Computer Science, Vol. 8, Issue 2 · 19 Nov 2011 · 7,975 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMeta Heuristic Algorithms for Vehicle Routing Problem with Stochastic DemandsGeetha Shanmugam, Poonthalir Ganesan, Dr. P.T. VanathiProblem statement: The shipment of goods from manufacturer to the consumer is a focal point of distribution logistics. In reality, the demand of consumers is not known a priori. This kind of distribution is dealt by Stochastic Vehicle Routing Problem (SVRP) which is a NP-hard problem. In this proposed work, VRP with stochastic demand is considered. A probability distribution is … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 8,026 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSwarm-Based Feature Selection for Handwriting IdentificationSiti Zaiton Mohd Hashim, Khaled Mohammed Bin AbdlProblem statement: Handwriting identification is the study for identifying or verifying the writer of a given handwritten document. Since the handwriting features are the cornerstone in the writers' classification process, the classifier accuracy is sensitive in terms of how the writers are scored based on the used features. Approach: In this study, we introduced swarm intelligence as a features weighting … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 7,408 accessesView PDFCite
Research ArticleOpen accessIn the keywordsGeometric 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 · 7,706 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimal Decentralized Load Frequency Control Using HPSO Algorithms in Deregulated Power SystemsSeyed Abbas Taher, Reza Hematti, Ali Abdolalipour, Seyed Hadi TabeiLoad Frequency Control (LFC) is one the most important issues in electrical power system design/operation and is becoming much more significant recently with increasing size, changing structure and complexity in interconnected power systems. In practice LFC systems use simple Proportional-Integral (PI) or Integral (I) controllers. However, since the PI or I control parameters are usually tuned based on classical or … …American Journal of Applied Sciences, Vol. 5, Issue 9 · 30 Sep 2008 · 7,393 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Multi-Objective HPSO Algorithm Approach for Optimally Location of UPFC in Deregulated Power SystemsSeyed Abbas Taher, Seyed Mohammad Hadi TabeiThis paper presents the application of hybrid particle swarm optimization technique to find optimal location of unified power flow controller to achieve optimal power flow. Objective function in the OPF, that is to be minimized, are the overall cost functions, which include the total active and reactive production cost function of the generators and installation cost of UPFCs. The OPF … …American Journal of Applied Sciences, Vol. 5, Issue 7 · 31 Jul 2008 · 6,979 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMemory 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 · 7,176 accessesView PDFCite