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Journal articles on the topic 'Reliability Pareto'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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1

أ.م.د.رواء صالح محمد صالح and م.فراس منذر جاسم. "A comparison and an application of reliability, reliability system, hybrid reliability system functions for Rayleigh, Pareto, and Rayleigh Pareto distributions." Journal of Administration and Economics 48, no. 138 (2024): 255–66. http://dx.doi.org/10.31272/jae.i138.1124.

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This study dealt with the analysis of the reliability function for hybrid systems with asymmetric components, where the operating times of these components follow Rayleigh, Pareto, and Rayleigh Pareto distributions, furthermore, we introduced a method of operation based on hybrid systems in order to increase the reliability of the machines operating times. Different simulation experiments were done to estimate the reliability function of these systems using the ML method, then a comparison was made between those estimators, the simulation results proved that the Rayleigh-Pareto distribution gi
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Lee, Changsoo, and Kyungsu Ahn. "Reliability estimation and ratio distribution in two independent Pareto-Pareto and power function." Journal of the Korean Data And Information Science Society 31, no. 3 (2020): 675–85. http://dx.doi.org/10.7465/jkdi.2020.31.3.675.

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Naser, Naser. "Epanechnikov-pareto Distribution with Application." International Journal of Neutrosophic Science 25, no. 4 (2025): 147–55. https://doi.org/10.54216/ijns.250412.

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In this article, we combined the Epanechnikov kernel function with the pareto distribution to produce the Epanechnikov-Pareto distribution (EPD). Some properties of this distribution are studied, like the moments, MLEs, reliability analysis functions, ordered statistics, and quintile function.
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SatyaPrasad, R., G. Sridevi, and K. Sita Kumari. "Assessing Pareto Type II Software Reliability using SPC." International Journal of Computer Applications 62, no. 3 (2013): 17–21. http://dx.doi.org/10.5120/10060-4652.

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Smadi, Mahmoud M., Saiful Islam Ansari, and Ahmed A. Jaradat. "Reliability estimation for the randomly censored pareto distribution." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 4 (2019): 3272. http://dx.doi.org/10.11591/ijece.v9i4.pp3272-3278.

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Widespread applications of random censoring in life testing experiments to estimate reliability of engineering products or systems are avialable. Different parametric statistical models such as exponential, Rayleigh, Weibull and Maxwell distributions are used under random censoring scheme. In this paper, random censoring under Pareto distribution is considered. The maximum likelihood estimators (MLE’s) of the model parameters and survival function were derived along with Fisher information matrix and asymptotic confidence intervals. A simulation study was performed to observe the behavior of t
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Gupta, Ramesh C. "Reliability Studies of Bivariate Distributions with Pareto Conditionals." Journal of Multivariate Analysis 76, no. 2 (2001): 214–25. http://dx.doi.org/10.1006/jmva.2000.1902.

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Mahmoud, M. Smadi, Islam Ansari Saiful, and A. Jaradat Ahmed. "Reliability estimation for the randomly censored pareto distribution." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 4 (2019): 3272–78. https://doi.org/10.11591/ijece.v9i4.pp3272-3278.

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Widespread applications of random censoring in life testing experiments to estimate reliability of engineering products or systems are avialable. Different parametric statistical models such as exponential, Rayleigh, Weibull and Maxwell distributions are used under random censoring scheme. In this paper, random censoring under Pareto distribution is considered. The maximum likelihood estimators (MLE’s) of the model parameters and survival function were derived along with Fisher information matrix and asymptotic confidence intervals. A simulation study was performed to observe the behavio
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V., Vijayagopal, and Prabu K. "Cohen Kappa Reliability Factor-based Mitigation Mechanism for Enhancing Cooperation in Ad hoc Networks." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 166–72. https://doi.org/10.35940/ijeat.C6516.049420.

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This paper presents a Cohen Kappa Reliability Factor-based Mitigation Mechanism (CKRFMM) for enabling trustworthy detection of Byzantine nodes. This detection process is achieved by estimating the reliability of the mobile nodes calculated through Cohen Kappa Reliability Factor (CKRF). CKRFMM reconfirms the byzantine behavior of active mobile nodes through Pareto function. Pareto function is a predominant re-test reliability estimator available in the classical theory of statistics. The simulation experimentation conducted using ns-2 of the CKRFMM is determined to be excellent in reducing ener
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Jong, Edwin D. de. "A Monotonic Archive for Pareto-Coevolution." Evolutionary Computation 15, no. 1 (2007): 61–93. http://dx.doi.org/10.1162/evco.2007.15.1.61.

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Coevolution has already produced promising results, but its dynamic evaluation can lead to a variety of problems that preventmost algorithms from progressing monotonically. An important open question therefore is how progress towards a chosen solution concept can be achieved. A general solution concept for coevolution is obtained by viewing opponents or tests as objectives. In this setup known as Pareto-coevolution, the desired solution is the Pareto-optimal set. We present an archive that guarantees monotonicity for this solution concept. The algorithm is called the Incremental Pareto-Coevolu
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Ezmareh, Zahra Karimi, and Gholamhossein Yari. "Bayesian Estimation of the Stress-Strength Reliability Based on Generalized Order Statistics for Pareto Distribution." Journal of Probability and Statistics 2023 (November 13, 2023): 1–14. http://dx.doi.org/10.1155/2023/8648261.

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The aim of this paper is to obtain a Bayesian estimator of stress-strength reliability based on generalized order statistics for Pareto distribution. The dependence of the Pareto distribution support on the parameter complicates the calculations. Hence, in literature, one of the parameters is assumed to be known. In this paper, for the first time, two parameters of Pareto distribution are considered unknown. In computing the Bayesian confidence interval for reliability based on generalized order statistics, the posterior distribution has a complex form that cannot be sampled by conventional me
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Ben Hamida, Imen, Saoussen Brini Salah, Faouzi Msahli, and Mohamed Faouzi Mimouni. "Distribution Network Reconfiguration Using SPEA2 for Power Loss Minimization and Reliability Improvement." International Journal of Energy Optimization and Engineering 7, no. 1 (2018): 50–65. http://dx.doi.org/10.4018/ijeoe.2018010103.

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This article presents an original method based on Strength Pareto Evolutionary Algorithm 2 (SPEA2) to solve the multi-objective reconfiguration problem of minimizing active power loss and improving power system reliability. The proposed evolutionary method is based on the Pareto optimality concept to equally optimize multiple objective functions providing a set of optimal solutions (Pareto front), where the network manager can select an option. An original combination of evolutionary computation and spanning trees theories is put forward to ensure an efficient convergence of solutions without
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Chen, Jinyuan, and Conghua Cheng. "Reliability of stress–strength model for exponentiated Pareto distributions." Journal of Statistical Computation and Simulation 87, no. 4 (2016): 791–805. http://dx.doi.org/10.1080/00949655.2016.1226309.

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Ancha Xu and Yincai Tang. "Bayesian Analysis of Pareto Reliability With Dependent Masked Data." IEEE Transactions on Reliability 58, no. 4 (2009): 583–88. http://dx.doi.org/10.1109/tr.2009.2026811.

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Rosaiah, K., N. Sivaramakrishna, D. C. U. Sivakumar, and K. Kalyani. "An Economic Reliability Test Plans for Exponential Pareto Distribution." Journal of Computer and Mathematical Sciences 9, no. 12 (2018): 1851–60. http://dx.doi.org/10.29055/jcms/931.

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Sankaran, P. G., and N. Unnikrishnan Nair. "A bivariate pareto model and its applications to reliability." Naval Research Logistics 40, no. 7 (1993): 1013–20. http://dx.doi.org/10.1002/1520-6750(199312)40:7<1013::aid-nav3220400711>3.0.co;2-7.

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Zhang, Qian, Jinjin Ding, Weixiang Shen, Jinhui Ma, and Guoli Li. "Multiobjective Particle Swarm Optimization for Microgrids Pareto Optimization Dispatch." Mathematical Problems in Engineering 2020 (March 25, 2020): 1–13. http://dx.doi.org/10.1155/2020/5695917.

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Multiobjective optimization (MOO) dispatch for microgrids (MGs) can achieve many benefits, such as minimized operation cost, greenhouse gas emission reduction, and enhanced reliability of service. In this paper, a MG with the PV-battery-diesel system is introduced to establish its characteristic and economic models. Based on the models and three objectives, the constrained MOO problem is formulated. Then, an advanced multiobjective particle swarm optimization (MOPSO) algorithm is proposed to obtain Pareto optimization dispatch for MGs. The combination of archive maintenance and Pareto selectio
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Gutta, Sridevi, and Satya R. Prasad. "Monitoring Pareto Type IV SRGM using SPC." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 11, no. 1 (2013): 2161–68. http://dx.doi.org/10.24297/ijct.v11i1.1186.

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The Reliability of the Software Process can be monitored efficiently using Statistical Process Control (SPC). SPC is the application of statistical techniques to control a process. SPC is a study of the best ways of describing and analyzing the data and then drawing conclusion or inferences based on available data. With the help of SPC the software development team can identify software failure process and find out actions to be taken which assures better software reliability. This paper provides a control mechanism based on the cumulative observations of Interval domain data using mean valu
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Wang, Lele, Richang Xian, Zhi Li, and Mengmeng Zhang. "Reliability-based Multi-objective Optimization with Uncertain Wind Power." Journal of Physics: Conference Series 2473, no. 1 (2023): 012016. http://dx.doi.org/10.1088/1742-6596/2473/1/012016.

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Abstract The unpredictability for wind power interprets the critical factor limiting its large-scale penetration in microgrids. Gaussian and Cauchy distributions describe both the arbitrary and vague characteristics of wind power to evaluate wind power unpredictability. Afterward, the wind power is presumed an undefined arbitrary variable, and a multi-objective optimization model concerning the credibility density function is developed to balance the economics and the reliability of microgrids. For the solution of the model, the NSGA-II algorithm is applied to seize the Pareto front. By fully
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Yi, Xin, Li Xin Ma, Wen Fei Cai, and Jin Sun. "Research of Multi-Objective Power Network Planning Based on Improved Fish Swarm Algorithm." Applied Mechanics and Materials 494-495 (February 2014): 1735–38. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.1735.

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According to the problem that traditional single objective network planning cant meet the demand of complex gird and key supply mission, using improved artificial fish swarm algorithm (AFSA) for multi-objective grid planning. The paper presents a method through selecting Pareto optimal compromise solution by calculating and comparing the degree of satisfaction of each planning scheme with the reference of scholar Paretos approach of striking a multi-objective optimal solution. This method can effectively balance weights between multiple targets and improve the reliability and economy of power
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De Andrade, Thiago A. N., Luz Milena Zea Fernandez, Frank Gomes-Silva, and Gauss M. Cordeiro. "The Gamma Generalized Pareto Distribution with Applications in Survival Analysis." International Journal of Statistics and Probability 6, no. 3 (2017): 141. http://dx.doi.org/10.5539/ijsp.v6n3p141.

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We study a three-parameter model named the gamma generalized Pareto distribution. This distribution extends the generalized Pareto model, which has many applications in areas such as insurance, reliability, finance and many others. We derive some of its characterizations and mathematical properties including explicit expressions for the density and quantile functions, ordinary and incomplete moments, mean deviations, Bonferroni and Lorenz curves, generating function, R\'enyi entropy and order statistics. We discuss the estimation of the model parameters by maximum likelihood. A small Monte Car
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Baharith, Lamya, and Hind Alzahrani. "New Bivariate Pareto Type II Models." Entropy 21, no. 5 (2019): 473. http://dx.doi.org/10.3390/e21050473.

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Pareto type II distribution has been studied from many statisticians due to its important role in reliability modelling and lifetime testing. In this article, we introduce two bivariate Pareto Type II distributions; one is derived from copula and the other is based on mixture and copula. Parameter Estimates of the proposed distribution are obtained using the maximum likelihood method. The performance of the proposed bivariate distributions is examined using a simulation study. Finally, we analyze one data set under the proposed distributions to illustrate their flexibility for real-life applic
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Sharma, Shachi. "Analysis of Faults in Software Systems Using Tsallis Distribution: A Unified Approach." Software 1, no. 4 (2022): 473–84. http://dx.doi.org/10.3390/software1040020.

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The identification of the appropriate distribution of faults is important for ensuring the reliability of a software system and its maintenance. It has been observed that different distributions explain faults in different types of software. Faults in large and complex software systems are best represented by Pareto distribution, whereas Weibull distribution fits enterprise software well. An analysis of faults in open-source software endorses generalized Pareto distribution. This paper presents a model, called the Tsallis distribution, derived using the maximum-entropy principle, which explain
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Jabbari Nooghabi, Mehdi, and Mehrdad Naderi. "Stress–strength reliability inference for the Pareto distribution with outliers." Journal of Computational and Applied Mathematics 404 (April 2022): 113911. http://dx.doi.org/10.1016/j.cam.2021.113911.

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Tantri, B. Roopashri, and Murulidhar N. N. "Estimation of Software Reliability for Littlewood Pareto Failure Time Model." International Journal of Software Engineering and Its Applications 11, no. 6 (2017): 25–34. http://dx.doi.org/10.14257/ijseia.2017.11.6.03.

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Li, Zhi Keng. "Application of NSGA-II and PGA in Network Planning of the Distributed Systems." Advanced Materials Research 433-440 (January 2012): 4888–92. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.4888.

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The issue of power reliability in a middle-voltage distributed network is now emerging as an international concern. Therefore, in this paper, an optimal model with two objectives, reliability and economy, for network planning of a distributed system is established. Based on the Pareto optimum theory, the Non-dominated Sorting Genetic algorithm II (NSGA-II), which is combined with the specific genetic operators in Partheno-genetic algorithm (PGA), is used to solve the proposed model. By the obtained well-proportioned Pareto solution set, the final network planning scheme can be found according
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Liao, Zirui, Shaoping Wang, Jian Shi, Dong Liu, and Rentong Chen. "Reliability-Oriented Configuration Optimization of More Electrical Control Systems." Aerospace 9, no. 2 (2022): 85. http://dx.doi.org/10.3390/aerospace9020085.

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More electrical vehicles adopt dissimilar redundant control systems with dissimilar power supplies and dissimilar actuators to achieve high reliability and safety, but this introduces more intricacy into the configuration design. Currently, it is difficult to identify the optimum configuration via the conventional trial-and-error approach within an acceptable timeframe. Hence, it is imperative to discover novel methods for the configuration design of more electrical vehicles. This paper introduced the design specification of more electric vehicles and investigated the contribution of different
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Twum, Stephen B., and Elaine Aspinwall. "Complex System Reliability Optimisation: A Multi-Criteria Approach." International Journal of Engineering Research in Africa 9 (May 2013): 13–21. http://dx.doi.org/10.4028/www.scientific.net/jera.9.13.

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The optimal allocation of reliability to the components of complex systems to maximise their reliability is posed as multi-criteria optimisation. The minimum cut-sets leading to series-parallel reduction of such systems were constituted into criteria and their reliability maximised while minimising cost of improving the systems reliability. Consequently, the system reliability expression is made redundant, which simplifies the problem. The resultant nonlinear optimisation model was solved by the Weighted Sum method for the Pareto optimal component reliability values. The model was applied to a
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Khalifa, Eman H., Dina A. Ramadan, Hana N. Alqifari, and Beih S. El-Desouky. "Bayesian Inference for Inverse Power Exponentiated Pareto Distribution Using Progressive Type-II Censoring with Application to Flood-Level Data Analysis." Symmetry 16, no. 3 (2024): 309. http://dx.doi.org/10.3390/sym16030309.

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Progressive type-II (Prog-II) censoring schemes are gaining traction in estimating the parameters, and reliability characteristics of lifetime distributions. The focus of this paper is to enhance the accuracy and reliability of such estimations for the inverse power exponentiated Pareto (IPEP) distribution, a flexible extension of the exponentiated Pareto distribution suitable for modeling engineering and medical data. We aim to develop novel statistical inference methods applicable under Prog-II censoring, leading to a deeper understanding of failure time behavior, improved decision-making, a
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Hanagal, David D. "Note on estimation of reliability under bivariate pareto stress-strength model." Statistical Papers 38, no. 4 (1997): 453–59. http://dx.doi.org/10.1007/bf02926000.

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Coelho, Rajan Filomeno, and Philippe Bouillard. "Multi-Objective Reliability-Based Optimization with Stochastic Metamodels." Evolutionary Computation 19, no. 4 (2011): 525–60. http://dx.doi.org/10.1162/evco_a_00034.

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This paper addresses continuous optimization problems with multiple objectives and parameter uncertainty defined by probability distributions. First, a reliability-based formulation is proposed, defining the nondeterministic Pareto set as the minimal solutions such that user-defined probabilities of nondominance and constraint satisfaction are guaranteed. The formulation can be incorporated with minor modifications in a multiobjective evolutionary algorithm (here: the nondominated sorting genetic algorithm-II). Then, in the perspective of applying the method to large-scale structural engineeri
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D, Sudharson, and Prabha Dr. "Hybrid software reliability model with Pareto distribution and ant colony optimization (PD–ACO)." International Journal of Intelligent Unmanned Systems 8, no. 2 (2020): 129–40. http://dx.doi.org/10.1108/ijius-09-2019-0052.

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PurposeSoftware reliability models in the past few years attracted researchers to build an accurate model in the software engineering. Testing is an important factor in the software development cycle.Design/methodology/approachAs testing improves quality and reliability of the application by identifying the bugs in it. Also, it defines the behavior and state of the product based on the defined principles and mechanisms. Conventional reliability models use statistical distributions to attain realistic features.FindingsThe ability to predict the bugs in the application during development phase i
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Nayak, Tapan Kumar. "Multivariate Lomax distribution: properties and usefulness in reliability theory." Journal of Applied Probability 24, no. 1 (1987): 170–77. http://dx.doi.org/10.2307/3214068.

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A model incorporating the effect of a common environment on several components (structurally independent) of a system is developed. A multivariate generalization of the Lomax (Pareto type 2) distribution is obtained by mixing exponential variables. Its relationship to other multivariate distributions is discussed. Several properties of this distribution are reported and their usefulness in reliability theory indicated. Finally, a further generalization of this multivariate Lomax distribution is presented.
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Nayak, Tapan Kumar. "Multivariate Lomax distribution: properties and usefulness in reliability theory." Journal of Applied Probability 24, no. 01 (1987): 170–77. http://dx.doi.org/10.1017/s0021900200030709.

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A model incorporating the effect of a common environment on several components (structurally independent) of a system is developed. A multivariate generalization of the Lomax (Pareto type 2) distribution is obtained by mixing exponential variables. Its relationship to other multivariate distributions is discussed. Several properties of this distribution are reported and their usefulness in reliability theory indicated. Finally, a further generalization of this multivariate Lomax distribution is presented.
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Rianti, Marlia, Muliana, Emmi Azis, Agustang, and Widya Wahyuni Asnur. "Sustainable Physical Resources to Value Co-Creation, Pareto Sales Network, and Marketing Performance." Journal of Indonesian Scholars for Social Research 3, no. 1 (2023): 44–55. http://dx.doi.org/10.59065/jissr.v3i1.47.

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This study aims to analyze sustainable physical resources on value co-creation, Pareto sales network, and marketing performance of Bugis silk weaving IKM in Bone Regency. The stages of the research method start from theoretical studies and empirical studies, preparation of proposals, testing the validity and reliability of research instruments, data collection, analysis, and discussion. The data analysis used is a quantitative approach with SEM analysis through data processing assisted by SPSS and SMART PLS. The results of the study show that: 1. Sustainable Physical Resources have a direct ef
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Egbe, Gregory Omozuhiomwen, Stella N. Arinze, Solomon H. Ebenuwa, Emenike Raymond Obi, and Augustine O. Nwajana. "Maintenance Resources Optimization Using Pareto Analysis." International Journal of Manufacturing, Materials, and Mechanical Engineering 13, no. 1 (2024): 1–14. http://dx.doi.org/10.4018/ijmmme.353392.

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Managing resource allocation for optimum effectiveness at various levels of maintenance activities is always a challenging task. Optimizing maintenance resources enables an organization to set priorities towards achieving certain goals which are availability and reliability of the equipment for operational excellence. The purpose of this analysis is to determine the optimum resources allocation proportions among the failure modes and to identify the failure modes that have the greatest cumulative effect on the equipment's downtime. This paper presents a methodology using the Pareto analysis in
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Sahmran, Mahmood A. "Modified Weighted Pareto Distribution Type I (MWPDTI)." Baghdad Science Journal 17, no. 3 (2020): 0869. http://dx.doi.org/10.21123/bsj.2020.17.3.0869.

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In this paper, the Azzallini’s method used to find a weighted distribution derived from the standard Pareto distribution of type I (SPDTI) by inserting the shape parameter (θ) resulting from the above method to cover the period (0, 1] which was neglected by the standard distribution. Thus, the proposed distribution is a modification to the Pareto distribution of the first type, where the probability of the random variable lies within the period The properties of the modified weighted Pareto distribution of the type I (MWPDTI) as the probability density function ,cumulative distribution functio
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Jeon, Young Eun, Yongku Kim, and Jung-In Seo. "Objective Framework for Bayesian Inference in Multicomponent Pareto Stress–Strength Model Under an Adaptive Progressive Type-II Censoring Scheme." Mathematics 13, no. 9 (2025): 1379. https://doi.org/10.3390/math13091379.

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This study introduces an objective Bayesian approach for estimating the reliability of a multicomponent stress–strength model based on the Pareto distribution under an adaptive progressive Type-II censoring scheme. The proposed method is developed within a Bayesian framework, utilizing a reference prior with partial information to improve the accuracy of point estimation and to ensure the construction of a credible interval for uncertainty assessment. This approach is particularly useful for addressing several limitations of a widely used likelihood-based approach in estimating the multicompon
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PANCHANGAM, SWAJEETH PILOT, and V. N. A. NAIKAN. "RELIABILITY ANALYSIS OF TEMPERATURE SENSOR SYSTEM." International Journal of Reliability, Quality and Safety Engineering 20, no. 01 (2013): 1350003. http://dx.doi.org/10.1142/s0218539313500034.

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In this paper, reliability analysis of thermocouple, RTD, and thermistor temperature sensing technologies and their corresponding systems used for controlling the main systems in many critical applications are carried out. Failure mode and effect analysis (FMEA) and the failure rate prediction of each component in the three temperature sensor systems are carried out and presented. All the major and critical failure modes and their respective corrective actions for preventing the same are established. This will help the designer to eliminate the occurrence of such failure modes by redesigning/d
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E Koni and Y Garbatov. "Ship Hull Hybrid Structural Design Accounting for Reliability." International Journal of Maritime Engineering 166, A1 (2024): 31–44. http://dx.doi.org/10.5750/ijme.v166ia1.1232.

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The optimum ship hull design solution has always been a concern, and in recent years, genetic algorithms to optimise the ship hull structure have been developed. The genetic algorithm’s fundaments generate alternative solutions and compare them with pre-defined constants and objectives. The development of design solutions evolves through competition and controlled variations. Minimising the ship hull structure weight is essential in reducing the ship’s capital (construction) expenditure and increasing the cargo capacity. The risk of the ship is associated with the loss of the ship, cargo, huma
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Ali Jaleel Najm, Hossein Jabbari Khamnei, and Somayeh Makouei. "Estimating Stress-Strength Reliability in the Beta-Pareto Distribution Using Ranked Set Sampling." Statistics, Optimization & Information Computing 13, no. 5 (2025): 2166–85. https://doi.org/10.19139/soic-2310-5070-2041.

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This paper introduces a novel approach for estimating the stress-strength reliability in the beta-pareto ($BP$) distribution by employing ranked set sampling ($RSS$). Stress-strength reliability is a crucial measure that quantifies the probability of an item or system operating without failure under random stress and strength conditions. The study focuses on estimating the reliability function ($R(t)$) and the probability ($P$) of stress being lower than strength when both stress and strength variables follow independent random variables from the $BP$ distribution. The maximum likelihood $ML$
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Zhu, Liangbin, Ying Shang, Jinglei Li, Yiming Jia, and Qinghai Yang. "Reliability-Constrained Task Scheduling for DAG Applications in Mobile Edge Computing." Wireless Communications and Mobile Computing 2024 (January 29, 2024): 1–12. http://dx.doi.org/10.1155/2024/6980514.

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The development of the internet of things (IoT) and 6G has given rise to numerous computation-intensive and latency-sensitive applications, which can be represented as directed acyclic graphs (DAGs). However, achieving these applications poses a huge challenge for user equipment (UE) that are constrained in computational power and battery capacity. In this paper, considering different requirements in various task scenarios, we aim to optimize the execution latency and energy consumption of the entire mobile edge computing (MEC) system. The system consists of single UE and multiple heterogeneou
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Li, Zhongkai, Guangdong Tian, Gang Cheng, Houguang Liu, and Zhihong Cheng. "An integrated cultural particle swarm algorithm for multi-objective reliability-based design optimization." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 228, no. 7 (2013): 1185–96. http://dx.doi.org/10.1177/0954406213502589.

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Uncertainties in design variables and problem parameters are often inevitable in multi-objective optimizations, and they must be considered in an optimization task if reliable Pareto optimal solutions are to be sought. Multi-objective reliability-based design optimization has been raised as a question in design for reliability, but the disadvantages of fixed evolutionary parameters, nonuniformly distributed Pareto optimal solutions and high computational cost hinder engineering applications of reliability-based design. To deal with it, this work proposes an integrated multi-objective cultural-
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Ye, Tianrui, and Wenhao Gui. "Estimation and Bayesian Prediction of the Generalized Pareto Distribution in the Context of a Progressive Type-II Censoring Scheme." Applied Sciences 14, no. 18 (2024): 8433. http://dx.doi.org/10.3390/app14188433.

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The generalized Pareto distribution plays a significant role in reliability research. This study concentrates on the statistical inference of the generalized Pareto distribution utilizing progressively Type-II censored data. Estimations are performed using maximum likelihood estimation through the expectation–maximization approach. Confidence intervals are derived using the asymptotic confidence intervals. Bayesian estimations are conducted using the Tierney and Kadane method alongside the Metropolis–Hastings algorithm, and the highest posterior density credible interval estimation is accompli
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44

Nik, A. Saadati, A. Asgharzadeh, and A. Baklizi. "Inference Based on New Pareto-Type Records With Applications to Precipitation and Covid-19 Data." Statistics, Optimization & Information Computing 11, no. 2 (2023): 243–57. http://dx.doi.org/10.19139/soic-2310-5070-1591.

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We consider estimation and prediction of future records based on observed records from the new Pareto type distribution proposed recently by Bourguignon et al. (2016), “M. Bourguignon, H. Saulo, R. N. Fernandez, A new Pareto-type distribution with applications in reliability and income data, Physica A, 457 (2016), 166-175.”. We derived several point predictors for a future record on the basis of the first n records. Two real data sets on precipitation and Covid 19 are analysed and a Monte Carlo simulation study has been performed to evaluate the statistical performance of point predictors pres
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45

Mughal, Abdur Razzaque, and Muhammad Ismail. "An Economic Reliability Efficient Group Acceptance Sampling Plans for Family Pareto Distributions." Research Journal of Applied Sciences, Engineering and Technology 06, no. 24 (2013): 4646–52. http://dx.doi.org/10.19026/rjaset.6.3486.

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Gelan Zhu, Yige MA, and Dong Hua. "Reliability Programming of Distribution Network Feeder Switches Based on Pareto Optimality Theory." Journal of Convergence Information Technology 8, no. 9 (2013): 413–21. http://dx.doi.org/10.4156/jcit.vol8.issue9.52.

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Patil, Dipak D., and U. V. Naik-Nimbalkar. "Computation and estimation of reliability for some bivariate copulas with Pareto marginals." Journal of Statistical Computation and Simulation 87, no. 18 (2017): 3563–89. http://dx.doi.org/10.1080/00949655.2017.1376328.

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48

Le, Qianqi, Guowu Yang, William N. N. Hung, Xiaoyu Song, and Xinpeng Zhang. "Pareto optimal mapping for tile-based network-on-chip under reliability constraints." International Journal of Computer Mathematics 92, no. 1 (2014): 41–58. http://dx.doi.org/10.1080/00207160.2014.892073.

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49

V Pandit, Parameshwar, and Shubhashree Joshi. "Reliability Estimation in Multicomponent Stress-strength Model based on Generalized Pareto Distribution." American Journal of Applied Mathematics and Statistics 6, no. 5 (2018): 210–17. http://dx.doi.org/10.12691/ajams-6-5-5.

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Bourguignon, Marcelo, Helton Saulo, and Rodrigo Nobre Fernandez. "A new Pareto-type distribution with applications in reliability and income data." Physica A: Statistical Mechanics and its Applications 457 (September 2016): 166–75. http://dx.doi.org/10.1016/j.physa.2016.03.043.

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