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220 results for “Genetic algorithm”
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Research ArticleOpen accessIn the keywordsComparison of Different Control Strategies in GA-Based Optimized UPFC Controller in Electric Power SystemsSeyed Abbas Taher, Reza Hematti, Majid NematiThis study presents a study of the application of a Unified Power Flow Controller (UPFC) to control power transmission, generator terminals voltage and better damping of Low Frequency Oscillation (LFO) in Single-Machine Infinite-Bus (SMIB) power system. The UPFC integrates properties of both shunt and series compensations and can effectively alter power system parameters in a way that increases power transfer … …American Journal of Engineering and Applied Sciences, Vol. 1, Issue 1 · 31 Mar 2008 · 7,606 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Fuzzy-GAs Model for Determining Varied Irrigation EfficiencyAnongrit Kangrang, Chavalit ChaleeraktrakoonIrrigation efficiency is necessary information in water resource management. We proposed fuzzy sets approach for estimating varied irrigation efficiency. Genetic algorithms technique was applied to calibrate membership function of fuzzy model. The fuzzy sets technique considered the uncertainty of the available water resource and required area as the input variables. The approach model was applied to determine the fluctuated irrigation … …American Journal of Applied Sciences, Vol. 4, Issue 6 · 30 Jun 2007 · 7,353 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDETECTING ABNORMAL BEHAVIOR IN SOCIAL NETWORK WEBSITES BY USING A PROCESS MINING TECHNIQUEMahdi Sahlabadi, Ravie Chandren Muniyandi, Zarina ShukurDetecting abnormal user activity in social network websites could prevent from cyber-crime occurrence. The previous research focused on data mining while this research is based on user behavior process. In this study, the first step is defining a normal user behavioral pattern and the second step is detecting abnormal behavior. These two steps are applied on a case study that … …Journal of Computer Science, Vol. 10, Issue 3 · 22 Nov 2013 · 7,920 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEnd to End Delay Improvement in Heterogeneous Multicast Network using Genetic OptimizationV. Chandrasekar, K. BaskaranProblem statement: Multicast is a concept of group communication which refers to transmitting the same data or messages from a source to multiple destinations in the network. This one-to-many group communication is a generalization of the concepts of one-to-one unicast and one-to-all broadcast. To deliver data from the sender to all receivers efficiently, routing plays an important role in multicast … …Journal of Computer Science, Vol. 8, Issue 9 · 13 Aug 2012 · 6,737 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUsing Hyper Clustering Algorithms in Mobile Network PlanningLamiaa Fattouh Ibrahim, Hesham A. SalmanProblem statement: As a large amount of data stored in spatial databases, people may like to find groups of data which share similar features. Thus cluster analysis becomes an important area of research in data mining. Applications of clustering analysis have been utilized in many fields, such as when we search to construct a cluster served by base station in … …American Journal of Applied Sciences, Vol. 8, Issue 10 · 30 Aug 2011 · 7,508 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Challenge for Routing Algorithms in Optical Multistage Interconnection NetworksMehrnaz Moudi, Mohamed OthmanProblem statement: A class of dynamic interconnection networks is Multistage Interconnection Networks (MINs) that connects input devices to output devices through a number of switch stages. MINs have assumed importance in recent years; because of their cost-effectiveness. Optical MINs are one type of MINs that have large transmission capacity in the communication networks. There is a major problem in Optical … …Journal of Computer Science, Vol. 7, Issue 11 · 29 Aug 2011 · 7,858 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Independent Rough Set Approach Hybrid with Artificial Bee Colony Algorithm for Dimensionality ReductionNambiraj Suguna, Keppana Gowder ThanushkodiProblem statement: Dimensionality reduction is viewed as an important pre-processing step for pattern recognition and data mining. As the classical rough set model considers the entire attribute set as a whole to find the subset, comparing all possible combinations of sets of attributes is difficult. Approach: In this study, we have introduced an improved Rough Set-based Attribute Reduction (RSAR) namely … …American Journal of Applied Sciences, Vol. 8, Issue 3 · 25 Mar 2011 · 8,342 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPredicting Missing Attribute Values Using k-Means ClusteringNambiraj Suguna, Keppana Gowder ThanushkodiProblem statement: Predicting the value for missing attributes is an important data preprocessing problem in data mining and knowledge discovery tasks. Several methods have been proposed to treat missing data and the one used more frequently is deleting instances containing at least one missing value of a feature. When the dataset has minimum number of missing attribute values then we … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,876 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStrength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer NetworksSubbaraj Potti, Chitra ChinnasamyProblem statement: A new multi-objective approach, Strength Pareto Evolutionary Algorithm (SPEA), is presented in this paper to solve the shortest path routing problem. The routing problem is formulated as a multi-objective mathematical programming problem which attempts to minimize both cost and delay objectives simultaneously. Approach: SPEA handles the shortest path routing problem as a true multi-objective optimization problem with competing … …Journal of Computer Science, Vol. 7, Issue 1 · 16 Dec 2010 · 8,221 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPREDICTION OF GLIOMA USING GENETIC OPTIMIZED NEURAL NETWORKS. Karpagam, S. GowriNeural networks are a computational paradigm model of the human brain that has become popular in recent years. We have tried to address the problem of Glioma by creating a more accurate classifier which can act as an expert assistant to medical practitioners. Brain stem gliomas are now recognized as a heterogenous group of tumors. In this study proposed a … …Journal of Computer Science, Vol. 9, Issue 11 · 1 Oct 2013 · 6,697 accessesView PDFCite