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132 results for “Stochastic”
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Research ArticleOpen accessEvery word in the titleA Genetic Algorithm for Scheduling n Jobs on a Single Machine with a Stochastic Controllable Processing, Tooling Cost and Earliness-Tardiness PenaltiesMohamed Ali Abdel-Fattah MansourProblem statement: In this research, we addressed the problem of minimizing the earliness-tardiness penalties and manufacturing costs of a single machine with a stochastic controllable processing and tooling cost. Approach: We developed a mathematical non-linear integer programming model and its linearised version to find the optimal solution. We introduced a new genome representation in single machine scheduling literature that evolved … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 3 · 18 Aug 2011 · 7,587 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSolving the State Assignment Problem Using Stochastic Search Aided with Simulated AnnealingWalid M. AlyProblem statement: Solving the state assignment problem means finding the optimum assignment for each state within a sequential digital circuit. These optimum assignments will result in decreasing the hardware realization cost and increasing the reliability of the digital circuit. Unfortunately, the state assignment problem belongs to the class of nondeterministic polynomial time problems (NP complete) which requires heavy computations. Different … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 4 · 31 Dec 2009 · 6,966 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAerodynamic Noise Prediction Using stochastic Turbulence ModelingArash Ahmadzadegan, Mehran TadjfarAmongst many approaches to determine the sound propagated from turbulent flows, hybrid methods, in which the turbulent noise source field is computed or modeled separately from the far field calculation, are frequently used. For basic estimation of sound propagation, less computationally intensive methods can be developed using stochastic models of the turbulent fluctuations (turbulent noise source field). A simple and … …American Journal of Applied Sciences, Vol. 5, Issue 9 · 30 Sep 2008 · 7,223 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSome Algorithms to Identify Rational Structures in Stochastic Processes with ExpectationsConcepción González-Concepción, María Candelaria Gil-Fariña, Celina Pestano-GabinoThis research was concerned with the identification of rational models in stochastic processes and we use the Padé-Laurent Approximation to identify a Transfer-Function Model with Expectations. We mention the T-table method and focus in studying the generalised epsilon-algorithm, emphasizing the main role of the statistical significance of their numerical entries. Empirical work is made for non-causal TF models using both … …Journal of Mathematics and Statistics, Vol. 3, Issue 4 · 31 Dec 2007 · 6,752 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOn Stability in Multiobjective Integer Linear Programming: A Stochastic ApproachWalied H. Sharif, Omar M. SaadIn this study we consider a multiobjective integer linear stochastic programming problem with individual chance constraints. We assume that there is randomness in the right-hand sides of the constraints only and that the random variables are normally distributed. Some stability notions for such problem are characterized. An auxiliary problem is discussed and an algorithm as well as an illustrative example … …American Journal of Applied Sciences, Vol. 2, Issue 12 · 31 Dec 2005 · 6,707 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAdaptivity in Role-Based Access Control During Stochastic Situations: A Comprehensive Study between Graph and Relational DatabasesKriti Srivastava, Dhruv Jain, Aarya Kamdar et al.Role-based control is straightforward to implement in static systems where there are specific policies for role and resource mapping. The main challenge is faced in dynamic and unpredictable systems with erratic workflows. Conventional methods prove to be inadequate in dynamic environments. Over the Years methods suggested include probabilistic, machine learning, ontology, and decision tree models to improve the adaptability. However, … …Journal of Computer Science, Vol. 20, Issue 12 · 18 Nov 2024 · 5,372 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleStochastic Model for Pricing Normal Bonds when Maturity Periods Cross Over to Pandemic PeriodSulaiman Sani, Siphelele LushabaIn this study, Ito form for normal bonds trading where maturity periods cross over to COVID-19 pandemic period is presented. It is shown that normal bonds in this period experience path reversals respective to their canonical paths. The criterion used in arriving at this striking result is also presented. As a key recommendation, it is necessary that bondholders enact flexible … …Journal of Mathematics and Statistics, Vol. 19, Issue 1 · 6 May 2023 · 6,094 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSTOCHASTIC REPAIR AND REPLACEMENT OF A STANDBY SYSTEMMohammed A. HajeehMechanical systems deteriorate over time and do not perform according to their intended functions and eventually fail due to the failure of one or more their components or units. Failed components are either repaired or replaced depending of several factors such as cost, criticality, or reliability. Repair is perfect, minimal, or imperfect. This study assesses the performance of a standby … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 9 Oct 2014 · 6,570 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEstimation of the Parameters of the Stochastic Differential Equations Black-Scholes Model Share Price of GoldKhaldi Khaled, Meddahi SamiaProblem statement: The estimation of the parameters is one of main problems of the dynamic models in many scientific fields and particularly in economics and finance. In this study, we examine the techniques of estimation of the parameters of the Black-Scholes model. These techniques are based on the function of probability. Approach: The two estimations are based on the likelihood … …Journal of Mathematics and Statistics, Vol. 6, Issue 4 · 24 Dec 2010 · 7,711 accessesView PDFCite