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91 results for “Convergence Problem”
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Research ArticleOpen accessIn the abstractAn Application of Combined Model for Tehran Metropolitan Area Incorporating Captive Travel BehaviorShahriar A. Zargari, Morteza Araghi, Kouros MohammadianTo overcome deficiencies of the sequential transportation planning approach, this research applies a Combined Trip Distribution and Assignment Model (CTDAM) for the simultaneous prediction. The proposed combined model can itself be reformulated as an Equivalent Minimization Problem (EMP). When applying the Evans algorithm to the EMP, the CTDAM is expected to be usable in a realistic application. The objective of … …American Journal of Applied Sciences, Vol. 6, Issue 1 · 31 Jan 2009 · 7,857 accessesView PDFCite
Research ArticleOpen accessIn the abstractLPSO: Another Algorithm for Workflow Scheduling in the CloudToan Phan Thanh, Loc Nguyen The, Said Elnaffar, Cuong Nguyen DoanAlthough workflow scheduling problem has been discussed by many researchers, a few efficient solutions have been introduced for Cloud computing. In this article, we present LPSO, a novel algorithm for workflow scheduling. Based on the Particle Swarm Optimization method, our proposed algorithm not only ensures the fast convergence but also avoid being trapped on local extrema. Our simulation experiments using … …Journal of Computer Science, Vol. 12, Issue 12 · 12 Feb 2017 · 6,804 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Homotopy Perturbation Method for SIR Model with Vital Dynamics and Constant PopulationMohammed S. Mechee, Ghassan A. Al-JuaifriIn this work, we have studied Susceptible-Infected-Recovered (SIR) model with vital dynamics and constant population, which is used as a mathematical models in many physically significant fields of applied science. The Homotopy Perturbation Method (HPM) and Runge-Kutta method (RK) have been used for solving the SIR model with vital dynamics and constant population. The convergence of HPM has been studied. … …American Journal of Applied Sciences, Vol. 15, Issue 1 · 3 Jan 2018 · 8,007 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Innovative Cooling Law for Simulated Annealing AlgorithmsAntonella Certa, Toni Lupo, Gianfranco PassannantiThe present paper proposes an original and innovative cooling law in the field of Simulated Annealing (SA) algorithms. Particularly, such a law is based on the evolution of different initial seeds on which the algorithm works in parallel. The efficiency control of the new proposal, executed on problems of different kind, shows that the convergence quickness by using such a … …American Journal of Applied Sciences, Vol. 12, Issue 6 · 16 Jul 2015 · 6,726 accessesView PDFCite
Research ArticleOpen accessIn the abstractESTIMATED AND ANALYSIS OF THE RELATIONSHIP BETWEEN THE ENDOGENOUS AND EXOGENOUS VARIABLES USING FUZZY SEMI-PARAMETRIC SAMPLE SELECTION MODELL. MuhamadSafiih, A. A. Kamil, M. T. Abu OsmanAn important progress within the last decade in the development of the selectivity model approach to overcome the inconsistent results if the distributional assumptions of the errors terms are made this problem is through the use of semi-parametric method. However, the uncertainties and ambiguities exist in the models, particularly the relationship between the endogenous and exogenous variables. A new framework … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 15 Jul 2014 · 6,788 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybridization of Enhanced Artificial Bee Colony-Least Squares Support Vector Machines for Price ForecastingZuriani Mustaffa, Yuhanis YusofProblem statement: As the performance of Least Squares Support Vector Machines (LSSVM) is highly rely on its value of regularization parameter, γ and kernel parameter, σ2, man-made approach is clearly not an appropriate solution since it may lead to blindness in certain extent. In addition, this technique is time consuming and unsystematic, which consequently affect the generalization performance of LSSVM. … …Journal of Computer Science, Vol. 8, Issue 10 · 28 Aug 2012 · 6,802 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn the Successive Overrelaxation MethodI. K. YoussefProblem statement: A new variant of the Successive Overrelaxation (SOR) method for solving linear algebraic systems, the KSOR method was introduced. The treatment depends on the assumption that the current component can be used simultaneously in the evaluation in addition to the use the most recent calculated components as in the SOR method. Approach: Using the hidden explicit characterization of … …Journal of Mathematics and Statistics, Vol. 8, Issue 2 · 22 Feb 2012 · 12,809 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Self-Adaptive Neuro Fuzzy Inference System for the Removal of Non-Linear Artifacts from the Respiratory SignalA. Bhavani Sankar, D. Kumar, K. SeethalakshmiProblem statement: In this study, a new ANFIS-based adaptive filter is proposed to remove the non-linear artifacts from the respiratory signal measured using MEMS based accelerometer sensor. The data recorded from the abdomen movement includes the respiratory signal, electromyogram, 50Hz power line interference and the random electrode noise. In order to avoid convergence into local extremes, the system employs ANFIS … …Journal of Computer Science, Vol. 8, Issue 5 · 16 Feb 2012 · 6,895 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvestigation of Deforestation on the Runoff-Peak by KINFIL ModelAlireza Mardookhpour, Leila OoshaksaraieProblem statement: In present study the KINFIL model was used for the catchment management, including the investigation of deforestation on predict flood runoff assessment with a significant precision. Approach: The KINFIL rainfall-runoff model has been used for the reconstruction of the rainfall runoff events in agricultural land use. The implementation of the KINFIL model supported by GIS proved to be … …American Journal of Environmental Sciences, Vol. 7, Issue 6 · 24 Dec 2011 · 6,863 accessesView PDFCite
Research ArticleOpen accessIn the abstractA 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