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Multi-server Markovian heterogeneous arrivals queue with two kinds of working vacations and impatient customers 多服务器马尔可夫异构到达队列,具有两种类型的工作假期和不耐烦的客户
Q3 Decision Sciences Pub Date : 2023-01-01 DOI: 10.2298/yjor221117011y
R.S. Yohapriyadharsini, V. Suvitha
This paper deals with multi-server queueing system with two kinds of Working Vacations (WVs) and impatient customers. A random timer is started whenever a customer comes into the system. The customer may abandon the system if the service is not completed before the impatience timer expires. Each time after serving all the customers, the system becomes empty and then the server begins 1st kind of vacation. On returning from 1st kind of WV, the server begins 2nd kind of WV whenever a system has no customers. When the server comes back from either 1st kind or 2nd kind of WV, if there is at least one customer in the system, the server switches to busy period. The steady state probabilities have been derived using the Probability Generating Functions (PGFs) method. Various measures of performance are presented and numerical illustrations are also provided.
本文研究了具有两种工作假期和不耐烦顾客的多服务器排队系统。每当客户进入系统时,都会启动一个随机计时器。如果在不耐计时器到期之前服务没有完成,客户可以放弃系统。每次服务完所有客户后,系统变为空,然后服务器开始第一次休假。当系统没有客户时,从第一类WV返回时,服务器开始第二类WV。当服务器从第一种或第二种WV返回时,如果系统中至少有一个客户,则服务器切换到繁忙期。利用概率生成函数(PGFs)方法导出了稳态概率。提出了各种性能指标,并提供了数值说明。
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引用次数: 0
Cat swarm optimization for the determination of strata boundaries 求解地层边界的Cat群算法
Q3 Decision Sciences Pub Date : 2023-01-01 DOI: 10.2298/yjor221015003j
Raghad M. Jasim
A stratified random sampling method is preferred for selecting varied populations with outliers. As opposed to plain random sampling, stratified sampling increases statistical precision by reducing estimator variance. Before reducing the estimator's variance, stratum boundary identification and data apportionment must be solved. In this study, a Neyman allocation strategy is used to address the stratum boundary determination issue in mixed populations. In addition to evaluating CSO on two groups of people, a comparison study was conducted using Kozak, GA, PSO, and Delanius and Hodge's approaches. Compared to previous algorithms, the numerical results indicate that the proposed technique can select the best-stratified boundaries for various standard populations and test functions.
分层随机抽样方法是选择具有异常值的不同总体的首选方法。与普通随机抽样相反,分层抽样通过减少估计量方差来提高统计精度。在减小估计量方差之前,必须解决地层边界识别和数据分配问题。本文采用Neyman分配策略来解决混合种群中地层边界的确定问题。除了对两组人的CSO进行评估外,还使用Kozak, GA, PSO和Delanius和Hodge的方法进行了比较研究。与以往的算法相比,数值结果表明,该方法可以为各种标准总体和测试函数选择最佳分层边界。
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引用次数: 0
The exact defuzzification method under polynomial approximation of various fuzzy sets 各种模糊集的多项式逼近下的精确去模糊化方法
Q3 Decision Sciences Pub Date : 2023-01-01 DOI: 10.2298/yjor2306017d
S. De, Somnath Nandi
This article deals with the new approach of finding the defuzzification / ranking index of various types of fuzzy sets. Traditionally, in most of the articles on fuzzy decision making the defuzzification methods are not justified with respect to that of highest aspiration levels. This study highlights an efficient defuzzification (ranking) method which links between the gaps on the defuzzified values obtained using ?-cuts and without ?-cuts of fuzzy numbers. Moreover, for a given problem different membership grades are found by different researchers which are confusing and contradicts the conceptual uniqueness of fuzzy set itself. To resolve these issues, first of all, we have studied a polygonal fuzzy set by means of an interpolating polynomial function. However, in fuzzy set theory we usually seek the highest membership grade for ranking any kind of decision-making problem therefore, maximizing the polynomial function, we get the index value of the proposed fuzzy set. An artificial intelligence (AI) based solution algorithm has also been developed to find the exact defuzzified value. Indeed, considering two numerical examples we have compared these ranking values with some of the existing state of- arts under higher aspiration levels. Finally, some graphical illustrations have also been done to justify the proposed approach.
本文研究了寻找各种类型模糊集的去模糊化/排序指标的新方法。传统上,在大多数关于模糊决策的文章中,对于最高期望水平的去模糊化方法是不合理的。本研究强调了一种有效的去模糊化(排序)方法,该方法将使用模糊数-切割和不使用模糊数-切割获得的去模糊化值的差距联系起来。此外,对于给定的问题,不同的研究人员发现了不同的隶属度,这混淆了模糊集本身的概念唯一性。为了解决这些问题,我们首先利用插值多项式函数研究了一个多边形模糊集。然而,在模糊集理论中,我们通常寻求最高的隶属度来对任何一类决策问题进行排序,因此,最大化多项式函数,我们得到所提出的模糊集的指标值。一种基于人工智能(AI)的求解算法也被开发出来以找到精确的去模糊化值。事实上,考虑到两个数字例子,我们将这些排名值与更高期望水平下的一些现有技术水平进行了比较。最后,还做了一些图形说明来证明所提出的方法。
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引用次数: 0
A new analytical approximate solution of fractional coupled Korteweg-de Vries system 分数阶耦合Korteweg-de Vries系统的一个新的解析近似解
Q3 Decision Sciences Pub Date : 2023-01-01 DOI: 10.2298/yjor221215013a
H. Ali, A. Noreldeen, Ali Ali
The main objective of this work is to present a modification of the Mittag- Leffler function to deduce a relatively new analytical approximate method (for short MMLFM) able to solve time-fractional nonlinear partial differential equations (PDEs). Moreover, we employ the MMLFM to solve the time-fractional coupled Korteweg-de Vries (KdV) model described by two nonlinear fractional partial differential equations (FPDEs) based upon Caputo fractional derivative (CFD). The simulation of projected results is presented in some figures and tables. Furthermore, we compare our solutions when ? = 1 with known exact solutions which indicate a good agreement, in addition, we compare our outcomes with the results obtained by other methods in the literature such as the Natural decomposing method (NDM) and homotopy decomposition method (HDM) in order to prove the reliability and efficiency of our used method. Also, we display solutions with different values of ? to present the effect of the fractional order on the proposed problem. The results of this article reveal the advantages of the MMLFM, which is simple, reliable, accurate, needs simple mathematical computations, is rapidly convergent to the exact solution, have a straightforward and easy algorithm compared to other analytical methods to study linear and nonlinear FPDEs, which makes this technique suited for real industrial or medical applications.
这项工作的主要目的是提出对Mittag- Leffler函数的修改,以推导出一种相对较新的解析近似方法(简称MMLFM),能够求解时间分数阶非线性偏微分方程(PDEs)。此外,基于Caputo分数阶导数(CFD),利用MMLFM求解了由两个非线性分数阶偏微分方程(FPDEs)描述的时间-分数阶耦合Korteweg-de Vries (KdV)模型。用一些图表和表格对预测结果进行了模拟。此外,我们在什么时候比较我们的解决方案?= 1与已知的精确解一致,并与文献中其他方法如自然分解法(NDM)和同伦分解法(HDM)的结果进行了比较,以证明本文方法的可靠性和有效性。同时,我们显示不同值的解。给出分数阶对所提问题的影响。本文的研究结果揭示了MMLFM的优点,它简单、可靠、准确,数学计算简单,收敛速度快,与其他分析方法相比,算法简单、简单,适合于研究线性和非线性FPDEs,适合于实际工业或医疗应用。
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引用次数: 0
A literature review on retrial queueing system with Bernoulli vacation 具有伯努利休假的重审排队系统的文献综述
Q3 Decision Sciences Pub Date : 2023-01-01 DOI: 10.2298/yjor230415020m
Mathavavisakan Micheal, Kandaiyan Indhira
The retrial phenomenon occurs inherently in a wide range of queueing systems. The majority of retrial queueing models do not account for vacation. However, in practice, retrial queueing systems undergo vacations for maintenance or other reasons. In this study, we provide an in-depth analysis of the many possible retrial queueing systems when Bernoulli vacations are in effect. Moreover, this study outlines the key principles and reviews the relevant literature. The framework of a retrial queue with Bernoulli vacation has numerous applications in computer networking systems, manufacturing and production mechanisms, inventory systems, including network service, mail service and file transfer service, etc. Several retrial queueing systems have been investigated, notably M/M/1, M/M/C, M/G/1, M[X]/G/1, and Geo/G/1. Many other important situations, such as server interruption, feedback, G-queue, impatient customers, priority customers, etc., have been explored in relation to retrial queues with Bernoulli vacation and the results of these investigations are also highlighted. The foremost objective of this study is to help researchers, administrators and technical workers who want to use queuing theory to simulate congestion and need to know where to find details on the right models. Finally, some open problems and potential future lines of survey are also covered.
重审现象存在于各种排队系统中。大多数重试排队模型都没有考虑休假。然而,在实践中,重试排队系统会因维护或其他原因而休假。在本研究中,我们提供了一个深入的分析,当伯努利假期是有效的许多可能的重审排队系统。此外,本文还概述了关键原理并对相关文献进行了综述。具有伯努利休假的重审队列框架在计算机网络系统、制造和生产机制、库存系统中有广泛的应用,包括网络服务、邮件服务和文件传输服务等。研究了几种重审排队系统,主要有M/M/1、M/M/C、M/G/1、M[X]/G/1和Geo/G/1。本文还探讨了许多其他重要情况,如服务器中断、反馈、G-queue、不耐烦的客户、优先客户等与伯努利假期的重审队列的关系,并强调了这些调查的结果。本研究的首要目标是帮助研究人员、管理人员和技术人员,他们希望使用排队理论来模拟拥堵,并且需要知道在哪里可以找到正确模型的细节。最后,还讨论了一些尚未解决的问题和未来可能的研究方向。
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引用次数: 0
Parallel evolutionary algorithms for the reconfigurable transfer line balancing problem 可重构传输线平衡问题的并行进化算法
Q3 Decision Sciences Pub Date : 2023-01-01 DOI: 10.2298/yjor230415018b
P. Borisovsky
This paper deals with an industrial problem of machining line design, which consists in partitioning a given set of operations into several subsets corresponding to workstations and sequencing the operations to satisfy the technical requirements and achieve the best performance of the line. The problem has a complex set of constraints that include partial order on operations, part positioning, inclusion, exclusion, cycle time, and installation of parallel machines on a workstation. The problem is NP-hard and even finding a feasible solution can be a difficult task from the practical point of view. A parallel evolutionary algorithm (EA) is proposed and implemented for execution on a Graphics Processing Unit (GPU). The parallelization in the EA is done by working on several parents in one iteration and in multiple application of mutation operator to the same parent to produce the best offspring. The proposed approach is evaluated on large scale instances and demonstrated superior performance compared to the algorithms from the literature in terms of running time and ability to obtain feasible solutions. It is shown that in comparison to the traditional populational EA scheme the newly proposed algorithm is more suitable for advanced GPUs with a large number of cores.
本文研究了一个工业加工生产线设计问题,该问题是将给定的一组操作划分为与工作站相对应的几个子集,并对其进行排序,以满足工艺要求并使生产线达到最佳性能。该问题具有一组复杂的约束,包括操作的部分顺序、零件定位、包含、排除、周期时间以及在工作站上并联机器的安装。这个问题是np困难的,从实际的角度来看,甚至找到一个可行的解决方案都是一项艰巨的任务。提出并实现了一种在图形处理器(GPU)上运行的并行进化算法(EA)。EA中的并行化是通过在一次迭代中处理多个亲本,并对同一亲本多次应用突变算子以产生最佳后代来实现的。该方法在大规模实例上进行了评估,在运行时间和获得可行解的能力方面,与文献中的算法相比,显示出优越的性能。实验结果表明,与传统的种群EA方案相比,本文提出的算法更适合于核数较多的高级gpu。
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引用次数: 0
A managerial approach in resource allocation models: an application in us and Canadian oil and gas companies 资源配置模型中的管理方法:在美国和加拿大油气公司中的应用
Q3 Decision Sciences Pub Date : 2023-01-01 DOI: 10.2298/yjor221016004m
Hengameh Mohamadinejad, A. Amirteimoori, S. Kordrostami, F. Lotfi
In resource allocation and target setting problems, a central decision makers? managerial standpoint has a pivotal role, especially when we encounter undesirable outputs such as the greenhouse gas (GHG) emissions. In such circumstances, firms have to cooperate with each other, to achieve the central planner?s aims. Looking into literature reveals that the existing resource allocation models based on data envelopment analysis (DEA) have not aptly considered the influence of managerial efforts and technological innovations in this sense. This study proposes a centralized model incorporating managerial disposability. This model not only reflects the leadership performance of the central planner and the technological novelty perspective in the resource allocation and target setting problem, but also has a positive modification against an environmental adaptation change. In order to illustrate the applicability of our resource allocation and target setting model, a case study of 23 US and Canadian oil and gas companies has been conducted. Analysis of the results reveals the appropriacy and efficiency of our proposed model in dealing with the current perspectives concerning the issue of resource allocation and target setting.
在资源分配和目标设定问题上,中央决策者是谁?管理立场具有关键作用,特别是当我们遇到不希望的输出,如温室气体(GHG)排放。在这种情况下,企业必须相互合作,以实现中央计划?年代的目标。通过文献研究发现,现有的基于数据包络分析(DEA)的资源配置模型没有恰当地考虑管理努力和技术创新在这一意义上的影响。本研究提出一个包含管理处置的集中式模型。该模型不仅反映了中央计划者和技术新颖性视角在资源配置和目标设定问题上的领导绩效,而且对环境适应性变化具有积极的修正作用。为了说明我们的资源分配和目标设定模型的适用性,我们对23家美国和加拿大的油气公司进行了案例研究。分析结果表明,本文提出的模型在处理当前关于资源配置和目标设定问题的观点方面是适当的和有效的。
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引用次数: 0
Optimal solution of pentagonal fuzzy transportation problem using a new ranking technique 五边形模糊运输问题的最优解
Q3 Decision Sciences Pub Date : 2023-01-01 DOI: 10.2298/yjor221120002b
Monika Bisht, Ismat Beg, R. Dangwal
In this article, we propose a method based on a new ranking technique to find optimal solution for a pentagonal fuzzy transportation problem. Firstly, the proposed ranking method which is based on the centroid concept is applied. This transforms the pentagonal fuzzy transportation problem to crisp transportation problem and then the proposed algorithm is applied to find optimal solution of the problem in crisp form. Also, a new method to find initial basic feasible solution (IBFS) of crisp valued transportation problems is introduced in the paper. Further, we give two numerical illustrations for the newly proposed algorithm and compare the solution obtained with the solutions of existing methods. The proposed method can easily be understood and applied to real life transportation problems. Moreover, the proposed ranking method can be used to solve various other fuzzy problems of operations research.
本文提出了一种基于新的排序技术的五边形模糊运输问题的最优解求解方法。首先,应用基于质心概念的排序方法;将五边形模糊运输问题转化为清晰运输问题,并应用该算法求解问题的最优解。此外,本文还提出了一种求初始基本可行解的新方法。最后给出了两个数值实例,并与现有算法的解进行了比较。该方法易于理解,并可应用于现实生活中的交通问题。此外,所提出的排序方法还可用于解决运筹学中的其他各种模糊问题。
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引用次数: 2
Multi-objective mathematical models to resolve parallel machine scheduling problems with multiple resources 多目标数学模型求解多资源并行机器调度问题
Q3 Decision Sciences Pub Date : 2023-01-01 DOI: 10.2298/yjor221215008k
Salma Kanoun, B. Jerbi, H. Kamoun, Lobna Kallel
Mathematical programming, and above all, the multi-objective scheduling problems stand as remarkably versatile tools, highly useful for optimizing the health care services. In this context, the present work is designed to put forward two-fold multi-objective mixed integer linear programs, simultaneously integrating the objectives of minimizing the patients? total waiting and flow time, while minimizing the doctors' work-load variations. For this purpose, the three major health-care system intervening actors are simultaneously considered, namely, the patients, doctors and machines. To the best of our knowledge, such an issue does not seem to be actually addressed in the relevant literature. To this end, we opt for implementing an appropriate lexicographic method, whereby, effective solutions enabling to minimize the performance of two-objective functions could be used to solve randomly generated small cases. Mathematical models of our study have been resolved using the CPLEX software. Then, results have been comparatively assessed in terms of both objectives and CPU times. A real laser-treatment case study, involving a set of diabetic retinopathy patients in the ophthalmology department in Habib Bourguiba Hospital in Sfax, Tunisia, helps in illustrating the effective practicality of our advanced approach. To resolve the treated problem, we use three relevant heuristics which have been compared to the first-come first-served rule. We find that the program based on our second formulation with time-limit provided the best solution in terms of total flow time.
数学规划,尤其是多目标调度问题,是一种非常通用的工具,对优化医疗服务非常有用。在此背景下,本工作旨在提出双重多目标混合整数线性规划,同时整合患者数量最少的目标。总等待和流动时间,同时尽量减少医生的工作量变化。为此目的,同时考虑了医疗保健系统的三个主要干预行为者,即患者、医生和机器。据我们所知,这一问题似乎并没有在相关文献中得到解决。为此,我们选择实现一种适当的词典编纂方法,从而使双目标函数的性能最小化的有效解决方案可以用于解决随机生成的小案例。使用CPLEX软件对我们研究的数学模型进行了求解。然后,根据目标和CPU时间对结果进行比较评估。一个真实的激光治疗案例研究,涉及突尼斯斯法克斯Habib Bourguiba医院眼科的一组糖尿病视网膜病变患者,有助于说明我们先进方法的有效实用性。为了解决所处理的问题,我们使用了三种相关的启发式方法,这些启发式方法与先到先得规则进行了比较。我们发现基于我们的第二种有时限公式的方案在总流时间方面提供了最佳的解决方案。
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引用次数: 0
A promising approach for decision modeling with single-valued neutrosophic probabilistic hesitant fuzzy Dombi operators 一种有前途的单值嗜中性概率犹豫模糊Dombi算子决策建模方法
Q3 Decision Sciences Pub Date : 2023-01-01 DOI: 10.2298/yjor230115007s
Muhammad Kamran, Shahzaib Ashraf, Muhammad Naeem
A combination of the single-valued neutrosophic set (SV-NS) and the probabilistic hesitant fuzzy set is the single-valued neutrosophic probabilistic hesitant fuzzy (SV-NPHF) environment (PHFS). It is intended for some unsatisfactory, ambiguous, and contradictory circumstances in which each element has a number of various values that are brought about by the situation?s actuality. The decision-maker can quickly gather and analyze the facts by employing a strategic decision-making technique. On the other hand, uncertainty will be a big part of our daily lives when we are learning. We present a decision-making strategy for the SV-NPHF context to address this data ambiguity. The fundamental operational concepts for SV-NPHF information under Dombi aggregation operators were initially developed on the basis of this study. The SV-NPHF Dombi weighted arithmetic average (SV-NPHFDWAA) operator and SV-NPHF Dombi weighted arithmetic geometric (SV-NPHFDWAG) operators are two SV-NPHF Dombi aggregation Operators that are then examined. Following that, we look into further characterizations of the proposed operators, including idempotency, boundedness, and monotonicity. Forthe derived operators, we additionally developed the score and accuracy functions. When using SV-NPHF data in a multi attribute decision support system (MADSS), it is necessary to compare the effectiveness of various (AOs) in order to make the best decision. In addition, it is demonstrated how to use symmetry analysis to choose the optimal social media platform for earning and learning in a practical application of SV-NPHFDWAA and SV-NPHFDWAG.
单值嗜中性集(SV-NS)与概率犹豫模糊集的结合就是单值嗜中性概率犹豫模糊集(SV-NPHF)环境。它适用于一些不令人满意、模棱两可和矛盾的情况,在这种情况下,每个元素都有许多不同的价值,这些价值是由情况带来的。年代的现状。决策者可以通过采用战略决策技术快速收集和分析事实。另一方面,当我们学习时,不确定性将成为我们日常生活的重要组成部分。我们提出了SV-NPHF上下文的决策策略来解决这种数据歧义。在此基础上,初步提出了Dombi聚合算子下SV-NPHF信息的基本操作概念。SV-NPHF Dombi加权算术平均(SV-NPHFDWAA)算子和SV-NPHF Dombi加权算术几何(SV-NPHFDWAG)算子是两个SV-NPHF Dombi聚合算子。接下来,我们进一步研究了所提算子的特征,包括幂等性、有界性和单调性。对于导出的运算符,我们还开发了分数和精度函数。在多属性决策支持系统(MADSS)中使用SV-NPHF数据时,为了做出最佳决策,有必要比较各种ao的有效性。此外,在SV-NPHFDWAA和SV-NPHFDWAG的实际应用中,演示了如何利用对称性分析来选择学习和学习的最佳社交媒体平台。
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引用次数: 1
期刊
Yugoslav Journal of Operations Research
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