Raheleh Khanduzi

Gonbad Kavous University | GPNU · Department of Mathematics and Statistics

The present paper on the location of clinic (C), hospital (H) and medical center (MC) in the Golestan province of Iran is motivated by its present condition coming from limited distribution and ease of access for related Cs, Hs, and MCs. Design of a median hierarchical location-allocation model for the needed healthcare facilities, from Cs to Hs an...

This paper develops a bilevel problem to address the interdiction and fortification of the healthcare network in Golestan province, Iran. We explore a bilevel hierarchical covering interdiction/fortification problem (BHCIFP) to analyze the dynamics between interdiction and fortification operations, referral systems for healthcare services, capacita...

This article addresses an optimal control problem (OCP) related to the COVID‐19 vaccination model. We transform the OCP into a nonlinear programming (NLP) problem by employing a collocation method that utilizes shifted Jacobian polynomials (SJPs) and their derivative operational matrices. To solve the NLP, we implement the Coronavirus Metamorphosis...

The purpose of this study is to develop a bilevel problem for interdiction and protection of circular supply chain network (BPIPCSCN) for an Indian manufacturing organization. This work used a bilevel mixed-integer quadratic programming approach for the analysis of interdiction and fortification operations in circular production systems and the cor...

This article describes a bi-level mixed-integer quadratic problem on a healthcare network in which a defender protects clinics, hospitals, and medical centers concerning a given defensive budget for minimizing the transportation costs, and also the assignment of patients based on their initial capacity before and after interdiction operations. On t...

Nowadays, designing a reliable hub network has become a critical issue in the process of transporting goods from an origin to a destination. Due to intentional disasters, both location and protection of hub play a key role in satisfying the demands and ensuring network reliability. This study tries to model the impact of the number of hubs opened,...

Exploiting a comprehensive mathematical model for a class of systems governed by fractional optimal control problems is the significant focal point of the current paper. The efficiency index is a function of both control and state variables and the dynamic control system relies on Caputo fractional derivatives. The attributes of Bernoulli polynomia...

In this essay, a method is presented for approximating the optimal control problem (OCP) with nonlinear delay differential equations using global collocation at Legendre–Gauss–Radau points. This OCP models the spread of the computer virus. The operational matrices and collocation method together with hybrid Legendre polynomials and block-pulse func...

This chapter presents a novel cooperative hierarchical protection-interdiction-allocation model for a real-world health network where clinics, hospitals, and medical centers are subject to the cooperative attacks and defensive operations. To identify the relationship between different levels of the health facilities, a three-level four-service hier...

This paper elaborated an effective and robust metaheuristic algorithm with acceptable performance based on solution accuracy. The algorithm applied in solution of the optimal control of fractional Volterra integro-differential (FVID) equation which be substituted by nonlinear programming (NLP). Subsequently the FIVD convert the problem to a NLP by...

In this paper, we consider an interdiction/protection problem on a wireless network where a defender places a set of hubs and detects the locations for deploying anti-jamming devices in order to minimize the cost of installing hubs and the energy consumption before and after jamming attacks. Moreover, the attacker's objective is to detect the locat...

In this paper, we present a new bilevel model for a biomedical supply chain network with capacity and budget constraint due to the protection and interdiction operations. The components considered in this model are biomedical devices, distribution centers (DCs), medical suppliers (MSs), and hospitals and patients as the demand points. On the other...

This study aimed to utilize a novel modified approach based on teaching–learning-based optimization (MTLBO), to achieve an approximate solution of optimal control problem governed by nonlinear Volterra integro-differential systems. The scheme was based upon Chebyshev wavelet and its derivative operational matrix, which eventually led to a nonlinear...

Service systems are in significant danger of terrorist attacks aimed at disrupting their critical components. These attacks seek to exterminate vital assets such as transportation networks, services, and supplies. In the present paper, we propose a multi-period planning based on capacity recovery to allocate fortification/interdiction resources in...

In this paper, we introduce a novel continuous bi-level programming model of an interdiction/fortification problem, referred to as partial interdiction/fortification problem with capacitated facilities and Budget constraint (PIFCB). PIFCB is modeled as a Stackelberg game between a defender (leader) and an attacker (follower). The decisions of the d...

The continuous defensive location problem (CDLP) is an NP-hard problem well investigated in the fields of competitive facility location. CDLP is a bi-level programming problem, where a decision maker locates defensive facilities with different capacities in the vertices of the network in order to avoid her/his aggressors from reaching core which is...

Fortifying the facilities to relieve the impact of disaster can be a significant operation for service industries. This study introduces an integrated assignment-allocation model that combines three issues: customer-facility assignments, allocation of fortification resources and data envelopment analysis (DEA). To justify the approach used to deal...

This paper proposes a pseudo-spectral scheme for obtaining approximate optimal control and state. This computational scheme represents the solution of the optimal control problem (OCP) by an mth degree Lagrange interpolating polynomial, using Legendre nodes. Then, OCP of non-linear Volterra integral equation is transformed into an optimization prob...

An interdiction/fortification location problem deals with finding the locations of resources and customer-facility assignments. Due to the special characteristics of the problem, the overall performance of the system depends on interdiction/fortification operations and the demand of customers. Therefore, the design of efficient systems is a remarka...

This study intends to formulate the r-interdiction median problem with fortification (RIMF) in a fuzzy environment. In this novel model, all data corresponding to the demand of customers and fortification and interdiction resources are imprecise and vague and to consider the degree of certainty of the solution. Fuzzy model of RIMF also is given as...

In this paper, we introduce a novel optimal location problem on a network, called as continuous defensive location problem (CDLP). In this problem, a decision maker locates different kinds of defensive facilities (with different capacities) on the vertices of the network in order to prevent her/his aggressors from reaching a strategic site, called...

In this paper, we propose a new global and fast Multilayer Perceptron Neural Network (MLP-NN) which can be used to forecast the automotive price. Nowadays, the gradient-based techniques, such as back propagation, are widely used for training neural networks. These techniques have local convergence results and, therefore, can perform poorly even on...

In this paper, using the Hurst exponent value H, we first show that the automotive price in Iran Khodro Company (IRAN) is predictable and therefore a good forecasting can be done using neural networks. We then introduce a new global and fast hybrid multilayer perceptron neural network (MLP-NN) in order to forecast the automotive price. In our new f...

In this paper, we introduce a new intelligent combination method based on Multilayer Perceptron Neural Network (MLP-NN) and Hybrid Genetic Algorithm (HGA) for automotive price forecasting. The combination of MLP-NN and HGA leads us to accelerate convergence to the optimal weights and to improve the forecasting performance. In this structure, the Le...