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Collaborative Search Model for Lost-Link Borrowers Information Based on Multi-Agent Q-Learning 基于多智能体q -学习的失联借款人信息协同搜索模型
3区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2023-11-03 DOI: 10.3390/axioms12111033
Ge You, Hao Guo, Abd Alwahed Dagestani, Ibrahim Alnafrah
To reduce the economic losses caused by debt evasion amongst lost-link borrowers (LBs) and improve the efficiency of finding information on LBs, this paper focuses on the cross-platform information collaborative search optimization problem for LBs. Given the limitations of platform/system heterogeneity, data type diversity, and the complexity of collaborative control in cross-platform information search for LBs, a collaborative search model for LBs’ information based on multi-agent technology is proposed. Additionally, a multi-agent Q-learning algorithm for the collaborative scheduling of multi-search subtasks is designed. We use the Q-learning algorithm based on function approximation to update the description model of the LBs. The multi-agent collaborative search problem is transformed into a reinforcement learning problem by defining search states, search actions, and reward functions. The results indicate that: (i) this model greatly improves the comprehensiveness and accuracy of the search for key information of LBs compared with traditional search engines; (ii) during searching for the information of LBs, the agent is more inclined to search on platforms and data types with larger environmental rewards, and the multi-agent Q-learning algorithm has a stronger ability to acquire information value than the transition probability matrix algorithm and the probability statistical algorithm for the same number of searches; (iii) the optimal search times of the multi-agent Q-learning algorithm are between 14 and 100. Users can flexibly set the number of searches within this range. It is significant for improving the efficiency of finding key information related to LBs.
为了减少失联借款人逃债造成的经济损失,提高失联借款人的信息查找效率,本文重点研究了失联借款人跨平台信息协同搜索优化问题。针对LBs跨平台信息搜索存在平台/系统异构性、数据类型多样性和协同控制复杂性等局限性,提出了一种基于多智能体技术的LBs信息协同搜索模型。此外,设计了一种多智能体q -学习算法,用于多搜索子任务的协同调度。我们使用基于函数逼近的q -学习算法来更新lb的描述模型。通过定义搜索状态、搜索动作和奖励函数,将多智能体协同搜索问题转化为强化学习问题。结果表明:(1)与传统搜索引擎相比,该模型大大提高了LBs关键信息搜索的全面性和准确性;(ii)智能体在搜索LBs信息时,更倾向于在环境奖励较大的平台和数据类型上搜索,在相同搜索次数下,多智能体q -学习算法比转移概率矩阵算法和概率统计算法具有更强的获取信息价值的能力;(iii)多智能体Q-learning算法的最优搜索次数在14 ~ 100之间。用户可以在此范围内灵活设置搜索次数。这对于提高查找LBs相关关键信息的效率具有重要意义。
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引用次数: 0
Geometrically Non-Linear Plane Elasticity Problem in the Area of an Angular Boundary Cut-Out 角边界切割区域的几何非线性平面弹性问题
3区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2023-11-02 DOI: 10.3390/axioms12111030
Lyudmila Frishter
A relevant problem in the development and improvement of numeric analytical methods for the research of structures, buildings and construction is studying the stress–strain state of structures and construction with boundaries that have complex shapes. Deformations and stresses arise in a domain with a geometrically non-linear shape of the boundary (cut-outs and cuts). These stresses and deformations have great values and gradients. Experiments carried out using the photoelasticity method show a change in the deformation order ratios for different subareas of the boundary cut-out area depending on proximity to the apex of the angular cut-out. Areas with minor deformations are observed, and areas where linear deformations and shears are more significant than rotations are also observed. In addition, areas where section rotations are more significant than linear and shear deformations are observed. According to the experimental data, the mathematical model of the SSS in the area of the apex of the cut-out of the domain boundary should take into account non-linear deformations. Hence, it is necessary to formulate the boundary value problem of the theory of elasticity, taking into account the geometrical non-linearity. The research aim of this paper is to formulate the problem of the elasticity theory taking into account the geometrical non-linearity in furtherance of the proposed mathematical model justified by the experimental data obtained using the photoelasticity method. The obtained formulation of the elasticity theory problem allows analyzing the form of the system of equations of the boundary value problem depending on the proximity of the considered area to the irregular point of the boundary, i.e., taking into account the difference in the effect of linear and shear deformations, rotations and forced deformations on the solution to the geometrically non-linear elastic problem dealing with forced deformations in the area of an angular cut-out of the boundary of the plane domain.
研究具有复杂形状边界的结构和建筑的应力-应变状态是研究结构、建筑和施工数值分析方法发展和完善中的一个相关问题。变形和应力产生在一个具有几何非线性形状的边界域中(切割和切割)。这些应力和变形具有很大的数值和梯度。利用光弹性方法进行的实验表明,边界切割区域的不同子区域的变形阶比随距离角切割顶点的远近而变化。观察到轻微变形的区域,也观察到线性变形和剪切比旋转更显著的区域。此外,观察到截面旋转比线性和剪切变形更显著的区域。根据实验数据,区域边界切割顶点区域的SSS数学模型应考虑非线性变形。因此,有必要提出考虑几何非线性的弹性理论边值问题。本文的研究目的是在用光弹性方法得到的实验数据所证明的数学模型的基础上,进一步提出考虑几何非线性的弹性理论问题。得到的弹性理论问题的表达式允许根据所考虑的区域与边界的不规则点的接近程度来分析边值问题的方程组的形式,即考虑到线性变形和剪切变形的影响的差异。旋转和强迫变形对几何非线性弹性问题的求解,处理强迫变形在平面域边界的一个角切割区域。
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引用次数: 0
On Mond–Weir-Type Robust Duality for a Class of Uncertain Fractional Optimization Problems 一类不确定分数型优化问题的mond - weird型鲁棒对偶性
3区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2023-11-02 DOI: 10.3390/axioms12111029
Xiaole Guo
This article is focused on the investigation of Mond–Weir-type robust duality for a class of semi-infinite multi-objective fractional optimization with uncertainty in the constraint functions. We first establish a Mond–Weir-type robust dual problem for this fractional optimization problem. Then, by combining a new robust-type subdifferential constraint qualification condition and a generalized convex-inclusion assumption, we present robust ε-quasi-weak and strong duality properties between this uncertain fractional optimization and its uncertain Mond–Weir-type robust dual problem. Moreover, we also investigate robust ε-quasi converse-like duality properties between them.
研究了一类约束函数具有不确定性的半无限多目标分式优化问题的mond - weiri型鲁棒对偶性。首先,针对该分式优化问题建立了一个mond - weirtype鲁棒对偶问题。然后,结合一个新的鲁棒型次微分约束条件和广义凸包含假设,给出了该不确定分数优化与其不确定mond - weirtype鲁棒对偶问题之间的鲁棒ε-拟弱和强对偶性质。此外,我们还研究了它们之间的鲁棒ε-拟逆对偶性质。
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引用次数: 0
Dynamics Analysis of a Discrete-Time Commensalism Model with Additive Allee for the Host Species 一类具有加性通道的寄主离散时间共生模型的动力学分析
3区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2023-11-02 DOI: 10.3390/axioms12111031
Yanbo Chong, Ankur Jyoti Kashyap, Shangming Chen, Fengde Chen
We propose and study a class of discrete-time commensalism systems with additive Allee effects on the host species. First, the single species with additive Allee effects is analyzed for existence and stability, then the existence of fixed points of discrete systems is given, and the local stability of fixed points is given by characteristic root analysis. Second, we used the center manifold theorem and bifurcation theory to study the bifurcation of a codimension of one of the system at non-hyperbolic fixed points, including flip, transcritical, pitchfork, and fold bifurcations. Furthermore, this paper used the hybrid chaos method to control the chaos that occurs in the flip bifurcation of the system. Finally, the analysis conclusions were verified by numerical simulations. Compared with the continuous system, the similarities are that both species’ densities decrease with increasing Allee values under the weak Allee effect and that the host species hastens extinction under the strong Allee effect. Further, when the birth rate of the benefited species is low and the time is large enough, the benefited species will be locally asymptotically stabilized. Thus, our new finding is that both strong and weak Allee effects contribute to the stability of the benefited species under certain conditions.
提出并研究了一类具有加性Allee效应的离散共生系统。首先分析了具有加性Allee效应的单物种的存在性和稳定性,然后给出了离散系统不动点的存在性,并通过特征根分析给出了不动点的局部稳定性。其次,利用中心流形定理和分岔理论研究了系统在非双曲不动点处的余维分岔,包括翻转分岔、跨临界分岔、干草叉分岔和折叠分岔。在此基础上,利用混合混沌方法对系统的翻转分岔产生的混沌进行了控制。最后,通过数值模拟验证了分析结论。与连续系统相比,相似之处在于弱Allee效应下,两种物种密度随Allee值的增加而降低,强Allee效应下寄主物种加速灭绝。此外,当受益物种的出生率较低且时间足够大时,受益物种将局部渐近稳定。因此,我们的新发现是,在一定条件下,强和弱Allee效应都有助于受益物种的稳定性。
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引用次数: 0
Existence and Uniqueness Results for a Pantograph Boundary Value Problem Involving a Variable-Order Hadamard Fractional Derivative 一类含变阶Hadamard分数阶导数的受电弓边值问题的存在唯一性结果
3区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2023-11-01 DOI: 10.3390/axioms12111028
Kadda Maazouz, Moussa Daif Allah Zaak, Rosana Rodríguez-López
This paper discusses the problem of the existence and uniqueness of solutions to the boundary value problem for the nonlinear fractional-order pantograph equation, using the fractional derivative of variable order of Hadamard type. The main results are proved through the application of fractional calculus and Krasnoselskii’s fixed-point theorem. Moreover, the Ulam–Hyers–Rassias stability of the nonlinear fractional pantograph equation is analyzed. To conclude this paper, we provide an example illustrating our findings and approach.
利用Hadamard型变阶的分数阶导数,讨论了非线性分数阶受电弓方程边值问题解的存在唯一性问题。应用分数阶微积分和克拉斯诺塞尔斯基不动点定理证明了主要结果。此外,还分析了非线性分数阶受电弓方程的Ulam-Hyers-Rassias稳定性。最后,我们提供了一个例子来说明我们的发现和方法。
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引用次数: 0
Excess Lifetime Extropy of Order Statistics 序统计量的超额寿命熵
3区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2023-10-31 DOI: 10.3390/axioms12111024
Mansour Shrahili, Mohamed Kayid
This paper explores the concept of residual extropy as an uncertainty measure for order statistics. We specifically derive the residual extropy for the ith-order statistic and establish its relationship with the residual extropy of the ith-order statistic from a random sample generated from a uniform distribution. By employing this approach, we obtain a formula for the residual extropy of order statistics applicable to general continuous distributions. In addition, we offer two lower bounds that can be applied in situations where obtaining closed-form expressions for the residual extropy of order statistics in diverse distributions proves to be challenging. Additionally, we investigate the monotonicity properties of the residual extropy of order statistics. Furthermore, we present other aspects of the residual extropy of order statistics, including its dependence on the position of order statistics and various features of the underlying distribution.
本文探讨了残差外性作为序统计量的不确定性测度的概念。具体地推导了i阶统计量的残差外向性,并建立了它与均匀分布随机样本中i阶统计量残差外向性的关系。利用这种方法,我们得到了一个适用于一般连续分布的阶统计量的残差熵公式。此外,我们提供了两个下界,可以应用于在不同分布中获得阶统计量的残差熵的封闭形式表达式证明是具有挑战性的情况。此外,我们还研究了有序统计量的残差外性的单调性。此外,我们还介绍了序统计量的残差外向性的其他方面,包括它对序统计量位置的依赖以及底层分布的各种特征。
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引用次数: 0
An Approach for Approximating Analytical Solutions of the Navier-Stokes Time-Fractional Equation Using the Homotopy Perturbation Sumudu Transform’s Strategy 利用同伦摄动Sumudu变换策略逼近Navier-Stokes时间分数阶方程解析解的方法
3区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2023-10-31 DOI: 10.3390/axioms12111025
Sajad Iqbal, Francisco Martínez
In this study, we utilize the properties of the Sumudu transform (SuT) and combine it with the homotopy perturbation method to address the time fractional Navier-Stokes equation. We introduce a new technique called the homotopy perturbation Sumudu transform Strategy (HPSuTS), which combines the SuT with the homotopy perturbation method using He’s polynomials. This approach proves to be powerful and practical for solving various linear and nonlinear fractional partial differential equations (FPDEs) in scientific and engineering fields. We demonstrate the efficiency and simplicity of this method through examples, showcasing its ability to approximate solutions for FPDEs. Additionally, we compare the numerical results obtained using this technique for different values of alpha, showing that as the value moves from a fractional order to an integer order, the solution becomes increasingly similar to the exact solution. Furthermore, we provide the tabular representations of the solution for each example.
在本研究中,我们利用Sumudu变换(SuT)的性质,并将其与同伦摄动方法相结合来求解时间分数阶Navier-Stokes方程。本文提出了一种新的方法,称为同伦摄动Sumudu变换策略(HPSuTS),它将SuT与利用He多项式的同伦摄动方法相结合。在科学和工程领域中,该方法对求解各种线性和非线性分数阶偏微分方程具有强大的实用价值。我们通过实例证明了这种方法的效率和简单性,展示了它近似FPDEs解的能力。此外,我们比较了使用该技术获得的不同alpha值的数值结果,表明当值从分数阶移动到整数阶时,解变得越来越类似于精确解。此外,我们还为每个示例提供了解决方案的表格表示。
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引用次数: 0
Properties of Various Entropies of Gaussian Distribution and Comparison of Entropies of Fractional Processes 高斯分布各种熵的性质及分数阶过程熵的比较
3区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2023-10-31 DOI: 10.3390/axioms12111026
Anatoliy Malyarenko, Yuliya Mishura, Kostiantyn Ralchenko, Yevheniia Anastasiia Rudyk
We consider five types of entropies for Gaussian distribution: Shannon, Rényi, generalized Rényi, Tsallis and Sharma–Mittal entropy, establishing their interrelations and their properties as the functions of parameters. Then, we consider fractional Gaussian processes, namely fractional, subfractional, bifractional, multifractional and tempered fractional Brownian motions, and compare the entropies of one-dimensional distributions of these processes.
本文考虑了五种高斯分布熵:Shannon熵、r尼米特熵、广义r尼米特熵、Tsallis熵和Sharma-Mittal熵,建立了它们之间的相互关系和它们作为参数函数的性质。然后,我们考虑分数阶高斯过程,即分数阶、次分数阶、双分数阶、多分数阶和回火分数阶布朗运动,并比较这些过程的一维分布的熵。
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引用次数: 0
New Partially Linear Regression and Machine Learning Models Applied to Agronomic Data 新的部分线性回归和机器学习模型在农艺数据中的应用
3区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2023-10-31 DOI: 10.3390/axioms12111027
Gabriela M. Rodrigues, Edwin M. M. Ortega, Gauss M. Cordeiro
Regression analysis can be appropriate to describe a nonlinear relationship between the response variable and the explanatory variables. This article describes the construction of a partially linear regression model with two systematic components based on the exponentiated odd log-logistic normal distribution. The parameters are estimated by the penalized maximum likelihood method. Simulations for some parameter settings and sample sizes empirically prove the accuracy of the estimators. The superiority of the proposed regression model over other regression models is shown by means of agronomic experimentation data. The predictive performance of the new model is compared with two machine learning techniques: decision trees and random forests. These methods achieved similar prediction performance, i.e., none stands out as a better predictor. In this sense, the objective of the research is to choose the best method. If the objective is only predictive, the decision tree can be used due to its simplicity. For inference purposes, the regression model is recommended, which can provide much more information regarding the relationship of the variables under study.
回归分析可以适当地描述响应变量和解释变量之间的非线性关系。本文描述了基于指数奇对数-逻辑正态分布的双系统分量部分线性回归模型的构造。采用惩罚极大似然法对参数进行估计。对一些参数设置和样本大小的模拟经验证明了估计器的准确性。通过农艺试验数据证明了该回归模型相对于其他回归模型的优越性。新模型的预测性能与两种机器学习技术:决策树和随机森林进行了比较。这些方法实现了相似的预测性能,也就是说,没有一个是更好的预测器。从这个意义上说,研究的目的是选择最好的方法。如果目标只是预测性的,则可以使用决策树,因为它很简单。出于推理的目的,推荐使用回归模型,它可以提供更多关于所研究变量之间关系的信息。
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引用次数: 0
On a Mathematical Model of a General Autoimmune Disease 一般自身免疫性疾病的数学模型
3区 数学 Q1 MATHEMATICS, APPLIED Pub Date : 2023-10-30 DOI: 10.3390/axioms12111021
Mikhail Kolev, Nikolay Netov, Iveta Nikolova, Irina Naskinova, Velika Kuneva, Marian Milev
The proposed paper is devoted to presenting and analyzing a kinetic model describing the development of autoimmune disorders. The proposed model is a nonlinear system of differential equations that considers the biological activity of the interacting populations. The main characteristics of autoimmune diseases are taken into account. Preliminaries to the research area are provided. The modeling problem is discretized and solved approximately. The numerical results illustrate typical outcomes of autoimmune diseases.
提出的论文是致力于提出和分析动力学模型描述自身免疫性疾病的发展。所提出的模型是一个非线性微分方程组,它考虑了相互作用种群的生物活性。考虑到自身免疫性疾病的主要特征。对研究领域进行了初步探讨。将建模问题离散化,近似求解。数值结果说明了自身免疫性疾病的典型结果。
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引用次数: 0
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