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69 results for “Particle Swarm Optimization Algorithm”
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Research ArticleOpen accessIn the abstractAnt Colony Optimization for Load Management Based on Load Shifting in the Textile IndustryChaimongkon Chokpanyasuwan, Tika Bunnag, Ratthasak PrommasThe textile industry is a complicated manufacturing industry because it is a fragmented and heterogeneous sector dominated by Small and Medium Enterprises (SMEs). There are various energy-efficiency opportunities that exist in every textile plant. However, even cost-effective options often are not implemented in textile plants mostly because of limited information on how to implement energy-efficiency measures. This paper presents the … …American Journal of Applied Sciences, Vol. 12, Issue 2 · 9 Apr 2015 · 7,123 accessesView PDFCite
Research ArticleOpen accessIn the abstractDocument Clustering Based on Firefly AlgorithmAthraa Jasim Mohammed, Yuhanis Yusof, Husniza HusniDocument clustering is widely used in Information Retrieval however, existing clustering techniques suffer from local optima problem in determining the k number of clusters. Various efforts have been put to address such drawback and this includes the utilization of swarm-based algorithms such as particle swarm optimization and Ant Colony Optimization. This study explores the adaptation of another swarm algorithm which … …Journal of Computer Science, Vol. 11, Issue 3 · 26 Mar 2015 · 7,512 accessesView PDFCite
EditorialOpen accessIn the abstractNew Kind of Statistical MethodsCagdas Hakan AladagAladag, C.H. and E. Egrioglu, 2012. Advanced Time Series Forecasting Methods. In: Advances in Time Series Forecasting, Aladag, C.H. and E. Egrioglu (Eds.), Bentham Science Publishers, Oak Park, ISBN-10: 1608053733. Aladag, C.H., 2011. A Hybrid Intelligent Technique Combines Neural Networks and Tabu Search Methods for Forecasting, Computer Search Algorithms. 1st Edn., Nova Publisher, ISBN: 978-1-61209-043-6. Aladag, C.H., E Egrioglu, U. … …Journal of Mathematics and Statistics, Vol. 10, Issue 4 · 28 Nov 2014 · 7,591 accessesView PDFCite
Research ArticleOpen accessIn the abstractPROBABILISTIC PERIODIC REVIEW INVENTORYMODELUSING LAGRANGE TECHNIQUE AND FUZZY ADAPTIVE PARTICLE SWARM OPTIMIZATIONH. A. Fergany, N. A. El-Hefnawy, O. M. HollahThe integration between inventory model and Artificial Intelligent (AI) represents the rich area of research since last decade. In this study we investigate probabilistic periodic review <Q<qm, N> inventory model with mixture shortage (backorder and lost sales) using Lagrange multiplier technique and Fuzzy Adaptive Particle Swarm Optimization (FAPSO) under restrictions. The objective of these algorithms is to find the optimal … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 11 Aug 2014 · 7,025 accessesView PDFCite
Research ArticleOpen accessIn the abstractLOW COMPLEXITY CONSTRAINTS FOR ENERGY AND PERFORMANCE MANAGEMENT OF HETEROGENEOUS MULTICORE PROCESSORS USING DYNAMIC OPTIMIZATIONA. S. Radhamani, E. BaburajOptimization in multicore processor environment is significant in real world dynamic applications, as it is crucial to find and track the change effectively over time, which requires an optimization algorithm. In massively parallel processing multicore processor architectures, like other population based metaheuristics Constraint based Bacterial Foraging Particle Swarm Optimization (CBFPSO) scheduling can be effectively implemented. In this study we discuss … …Journal of Computer Science, Vol. 10, Issue 8 · 3 Apr 2014 · 6,647 accessesView PDFCite
Research ArticleOpen accessIn the abstractA PARTICLE SWARM OPTIMIZATION APPROACH FOR LOW POWER VERY LARGE SCALE INTEGRATION ROUTINGG. Nallathambi, S. RajaramThis study deals with the particle swarm optimization approach for optimal power dissipation in VLSI interconnect driven routing technique. Interconnect power dissipation is a major challenging research problem in Deep Submicron (DSM) regime that affects the overall circuit performance. The Buffer Insertion Buffer Sizing and Wire Sizing (BISWS) is considered for minimizing the power dissipation in VLSI circuits using interconnect … …Journal of Mathematics and Statistics, Vol. 10, Issue 1 · 1 Feb 2014 · 6,747 accessesView PDFCite
Research ArticleOpen accessIn the abstractFFA-CONTEXT AWARE ENERGY EFFICIENT ROUTING USING FAST REACTIVE AND ADAPTIVE ALGORITHMP. Kavitha Rani, E. KannanA vital issue of routing is how to efficiently strengthen energy consumption of the whole network and to avoid the energy-hole which leads to node failure or node death; this scenario makes the network to work improperly and leads to network death, Here we proves our hypothesis with linearity between routing and linear principles. Our proposed work effectively utilizes the … …American Journal of Applied Sciences, Vol. 11, Issue 2 · 26 Dec 2013 · 6,622 accessesView PDFCite
Research ArticleOpen accessIn the abstractEFFECTIVENESS OF SECOND BEST PARTICLE INFORMATION FOR PARTICLE SWARM OPTIMIZATIONEisuke Kita, Young-Bin ShinParticle Swarm Optimization (PSO) represents the potential solutions of the optimization problem as the particles and then, the particles move in order to find the better solution. The particle positions are updated from the personal best and the global best particle positions which have been ever found. This research focuses on the use of the second personal best and the … …Journal of Computer Science, Vol. 9, Issue 11 · 23 Sep 2013 · 6,579 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Neuro-Fuzzy Inference System-Particle Swarm Optimization Based Stability Maintenance of Power System NetworksR. Latha, J. KanakarajDuring faulty condition voltage instability is one of the major crisis in power system networks. This study proposes a hybrid learning algorithm to improve the stability performance of a power system with Distributed Generations (DGs). Here the distribution system stability is maintained with reduced power loss using an Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Particle Swarm Optimization (PSO) techniques. In … …American Journal of Applied Sciences, Vol. 10, Issue 8 · 24 Jul 2013 · 6,909 accessesView PDFCite
Research ArticleOpen accessIn the abstractParticle Swarm and Neural Network Approach for Fault Clearing of Multilevel InvertersR. M.S. Parvathi, M. SivakumarThis study presents a machine learning technique for fault diagnostics in induction motor drives. A normal model and an extensive range of faulted models for the inverter-motor combination were developed and implemented using a generic commercial simulation tool to generate voltages and current signals at a broad range of operating points selected by a Particle Swarm Optimization (PSO) based machine … …American Journal of Applied Sciences, Vol. 10, Issue 6 · 8 Jun 2013 · 6,495 accessesView PDFCite