In collaboration with Payame Noor University and Iranian Society of Instrumentation and Control Engineers

Control and Optimization
Optimization of Energy Consumption in Image Transmission in Wireless Sensor Networks (WSNs) using a Hybrid Method

Abbas Ali Rezaee; Farnoosh Zareian

Volume 2, Issue 1 , April 2017, , Pages 29-41

Abstract
  In wireless sensor networks (WSNs)‎, ‎sensor nodes have limited resources with regard to computation‎, ‎storage‎, ‎communication bandwidth‎, ‎and the most important of all‎, ‎energy supply‎. ‎In addition‎, ‎in many applications of sensor networks‎, ...  Read More

Control and Optimization
On Efficiency of Non-Monotone Adaptive Trust Region and Scaled Trust Region Methods in Solving Nonlinear Systems of Equations

Rasoul Hekmati

Volume 1, Issue 1 , April 2016, , Pages 31-40

Abstract
  In this paper we run two important methods for solving some well-known problems and make a comparison on their performance and efficiency in solving nonlinear systems of equations‎. ‎One of these methods is a non-monotone adaptive trust region strategy and another one is a scaled trust region ...  Read More

On Optimal Identification of Distribution for Two Independent Markov Chains to the Subject Reliability Criterian

Leader Navaei; Reza Akbari

Volume 6, Issue 1 , January 2021, , Pages 31-41

https://doi.org/10.30473/coam.2021.60220.1171

Abstract
  In this paper, the problem of identification of distributions for two‎ ‎independent objects via simple homogeneous stationary Markov chains with a finite number of states is studied‎. ‎This problem is introduced by Ahlswede and Haroutunian on the identification of hypotheses under reliability ...  Read More

Fixed Point Results under (ϕ, ψ)-Contractive Conditions and their Application in Optimization Problems

Razieh Farokhzad Rostami

Volume 7, Issue 1 , January 2022, , Pages 31-51

https://doi.org/10.30473/coam.2022.61322.1182

Abstract
  Fixed point theorems can be used to prove the solvability of optimization problems‎, ‎differential equations and equilibrium problems, and‎ ‎the intrinsic flexibility of probabilistic metric spaces makes it possible to extend the idea of contraction mapping in several inequivalent ways‎. ...  Read More

Control and Optimization
Two-Level Optimization Problems with Infinite Number of Convex Lower Level Constraints

Nader Kanzi

Volume 2, Issue 2 , December 2017, , Pages 33-44

Abstract
  ‎This paper proposes a new form of optimization problem which is a two-level programming problem with infinitely many lower level constraints‎. ‎Firstly‎, ‎we consider some lower level constraint qualifications (CQs) for this problem‎. ‎Then‎, ‎under these CQs‎, ...  Read More

Dose Optimization in a Fuzzy Model of High-Dose Rate Brachytherapy Problem

Mohammad Mohammadi Najafabadi; Habibeh Nazif; Fahime Soltanian

Volume 8, Issue 2 , December 2023, , Pages 33-47

https://doi.org/10.30473/coam.2023.63739.1200

Abstract
  This paper is motivated by high dose rate brachytherapy treatment planning problems which involve the specification of the movement schedule of a radiation source so that the target volumes are adequately covered with sufficient doses and organs at risk are not radiated beyond the clinical acceptance ...  Read More

Effective Data Reduction for Time-Aware Recommender Systems

Hadis Ahmadian Yazdi; Seyed Javad Seyyed Mahdavi Chabok; Maryam KheirAbadi

Volume 8, Issue 1 , June 2023, , Pages 33-53

https://doi.org/10.30473/coam.2023.66162.1221

Abstract
  In recent decades, the amount and variety of data have grown rapidly. As a result, data storage, compression, and analysis have become critical subjects in data mining and machine learning.‎ It is essential to achieve accurate compression without losing important data in the process. Therefore, this ...  Read More

Multi-Label Classification with Meta-Label-Specific Features and Q-Learning

Seyed Hossein Seyed Ebrahimi; Kambiz Majidzadeh; Farhad Soleimanian Gharehchopogh

Volume 6, Issue 2 , July 2021, , Pages 37-52

https://doi.org/10.30473/coam.2021.60849.1177

Abstract
  Classification is a crucial process in data mining‎, ‎data science‎, ‎machine learning‎, ‎and the applications of natural language processing‎. ‎Classification methods distinguish the correlation between the data and the output classes‎. ‎In single-label classification ...  Read More

Control and Optimization
Robust Control Synchronization on Multi-Story Structure under Earthquake Loads and Random Forces using H∞ Algorithm

Javad Mesbahi; Alaeddin Malek; Behnoush Salimbahrami

Volume 1, Issue 2 , October 2016, , Pages 39-52

Abstract
  In this paper‎, ‎the concept of synchronization control along with robust H∞ control are considered to evaluate the seismic response control on multi-story structures‎. ‎To show the accuracy of the novel algorithm‎, ‎a five-story structure is evaluated under the EL-Centro ...  Read More

Control and Optimization
Hybrid Time Delay Petri Nets as a Mathematical Novel Tool to Model Dynamic System with Current Sample Time

Alireza Ahangarani Farahani; Abbas Dideban

Volume 3, Issue 1 , July 2018, , Pages 45-64

https://doi.org/10.30473/coam.2019.41925.1090

Abstract
  The existing modeling methods using Petri Nets‎, ‎have been successfully applied to model and analyze dynamic systems‎. ‎However‎, ‎these methods are not capable of modeling all dynamic systems such as systems with the current sample time signals‎, ‎systems including various ...  Read More

Solving Nonlinear Hydraulic Equations of Water Distribution Networks by Using a Trust-Region Method

Mahdi Ahmadnia; Reza Ghanbari; Khatere Ghorbani-Moghadam

Volume 7, Issue 2 , December 2022, , Pages 53-75

https://doi.org/10.30473/coam.2022.62968.1195

Abstract
  In a water distribution network‎, ‎in order to analyze and determine its parameters such as head and flow rate‎, ‎we have to solve nonlinear hydraulic equations in each component of the network‎. ‎Contrary to most of the water distribution network simulation software‎, ‎solving ...  Read More

Control and Optimization
A New Measure for Evaluating the Efficiency of Human's Resources in University

Aghile Heydari; Hamid Reza Yousefzadeh

Volume 1, Issue 1 , April 2016, , Pages 41-53

Abstract
  In this paper we try to introduce a new approach and study the notion of efficiency under a multi objectives linear programming problem in the university by using analysis of hierarchy process (AHP)‎. ‎To this end‎, ‎we first extract some effective parameters due to efficiency offices ...  Read More

Control and Optimization
Solving Second Kind Volterra-Fredholm Integral Equations by Using Triangular Functions (TF) and Dynamical Systems

Azhdar Soleymanpour Bakefayat; Sima Karamseraji

Volume 2, Issue 1 , April 2017, , Pages 43-63

Abstract
  The method of triangular functions (TF) could be a generalization form of the functions of block-pulse (Bp)‎. ‎The solution of second kind integral equations by using the concept of TF would lead to a nonlinear equations system‎. ‎In this article‎, ‎the obtained nonlinear system ...  Read More

An Efficient Approach to Mental Sentiment Classification with EEG-based Signals Using LSTM Neural Network

Ali Badie; Mohammad Amin Moragheb; Ali Noshad

Volume 6, Issue 1 , January 2021, , Pages 43-59

https://doi.org/10.30473/coam.2021.60540.1174

Abstract
  This research explores the prominent signals and presents an effective approach to identify emotional experiences and mental states based on EEG signals‎. ‎First‎, ‎PCA is used to reduce the data's dimensionality from 2K and 1K down to 10 and 15 while improving the performance‎. ‎Then‎, ...  Read More

Control and Optimization
Global Asymptotic and Exponential Stability of Tri-Cell Networks with Different Time Delays

Zohreh Dadi; Farzaneh Ravanbakhsh

Volume 2, Issue 2 , December 2017, , Pages 45-60

Abstract
  In this paper‎, ‎a bidirectional ring network with three cells and different time delays is presented‎. ‎To propose this model which is a good extension of three-unit neural networks‎, ‎coupled cell network theory and neural network theory are applied‎. ‎In this model‎, ...  Read More

Characterization of Properly Efficient Solutions for Convex Multiobjective Programming with Nondifferentiable vanishing constraints

Javad Shaker Ardakani; shahriar Farahmand Rad; Nader Kanzi

Volume 3, Issue 2 , January 2018, , Pages 49-58

https://doi.org/10.30473/coam.2019.42442.1094

Abstract
  This paper studies the convex multiobjective optimization problem with vanishing constraints‎. ‎We introduce a new constraint qualification for these problems‎, ‎and then a necessary optimality condition for properly efficient solutions is presented‎. ‎Finally by imposing some ...  Read More

A New Weak Slater Constraint Qualification for Non-Smooth Multi-Objective Semi-Infinite Programming Problems

Hamed Soroush

Volume 8, Issue 2 , December 2023, , Pages 49-61

https://doi.org/10.30473/coam.2023.65902.1218

Abstract
  This paper addresses a non-smooth multi-objective semi-infinite programming problem that involves a feasible set defined by inequality constraints‎. ‎Our focus is on introducing a new weak Slater constraint qualification and deriving the necessary and sufficient conditions for (weakly‎, ‎properly) ...  Read More

Control and Optimization
Solving System of Nonlinear Equations by using a New Three-Step Method

Mehdi Ahmadi; Hamid Esmaeili; R Erfanifar

Volume 1, Issue 2 , October 2016, , Pages 53-62

Abstract
  In this paper‎, ‎we suggest a fifth order convergence three-step method for solving system of nonlinear equations‎. ‎Each iteration of the method requires two function evaluations‎, ‎two first Fr\'{e}chet derivative evaluations and two matrix inversions‎. ‎Hence‎, ...  Read More

A Hybrid Heuristic Algorithm to Provide a Multi-Objective Fuzzy Supply Chain Model with a Passive Defense Approach

Hamidreza ‎Ayoughi; Hossein ‎Dehghani Poudeh; Abbas Raad; Davood Talebi

Volume 7, Issue 1 , January 2022, , Pages 53-78

https://doi.org/10.30473/coam.2022.60472.1173

Abstract
  ‎‎‎In this paper‎, ‎a stable multi-objective model of location‎, ‎inventory‎, ‎and supply chain routing is presented under conditions of uncertainty and using a passive defense approach‎. ‎Parameters such as demand‎, ‎cost of setting up the facility ...  Read More

Optimal Control Problems‎: ‎Convergence and Error Analysis in Reproducing Kernel Hilbert Spaces

Ebrahim Amini

Volume 6, Issue 2 , July 2021, , Pages 53-77

https://doi.org/10.30473/coam.2022.59267.1164

Abstract
  In this article‎, ‎we offer an efficient method to find an approximate solution for quadratic optimal control problems‎. ‎The approximate solution is offered in a finite series form in reproducing kernel space‎. ‎The convergence of proposed method is analyzed under some hypotheses ...  Read More

Optimal Edges in Morphological Snakes

Rasool Hatamian Joghali

Volume 8, Issue 1 , June 2023, , Pages 55-67

https://doi.org/10.30473/coam.2022.61960.1185

Abstract
  In 2010, Alvarez et al. proposed an algorithm for morphological snakes that could detect objects whose edges consist of convex sets and polygonal edges. However, the algorithm may not detect the boundary well if the edges of an object contain a convex set or if there are several separated ...  Read More

Control and Optimization
Best Proximity Point Result for New Type of Contractions in Metric Spaces with a Graph

Kamal Fallahi

Volume 3, Issue 1 , July 2018, , Pages 65-73

https://doi.org/10.30473/coam.2019.45808.1112

Abstract
  In this paper‎, ‎we introduce a new type of graph contraction using a special class of functions and give a best proximity point theorem for this contraction in complete metric spaces endowed with a graph under two different conditions‎. ‎We then support our main theorem by a non-trivial ...  Read More

Using the Integral Operational Matrix of B-Spline Functions to Solve Fractional Optimal Control Problems

Yousef Edrisi-Tabriz

Volume 7, Issue 2 , December 2022, , Pages 77-98

https://doi.org/10.30473/coam.2022.62261.1207

Abstract
  In this paper‎, ‎we present a numerical method for solving the fractional optimal control problems in which fractional integral operational matrices of basic B-spline functions are used‎. ‎In the proposed method‎, ‎we use the Riemann-Liouville fractional integral‎. ‎With ...  Read More

Control and Optimization
Solving Linear Semi-Infinite Programming Problems Using Recurrent Neural Networks

Alaeddin Malek; Ghasem Ahmadi; Seyyed Mehdi Mirhoseini Alizamini

Volume 1, Issue 1 , April 2016, , Pages 55-67

Abstract
  ‎Linear semi-infinite programming problem is an important class of optimization problems which deals with infinite constraints‎. ‎In this paper‎, ‎to solve this problem‎, ‎we combine a discretization method and a neural network method‎. ‎By a simple discretization ...  Read More

Two Settings of the Dai-Liao Parameter Based on Modified Secant Equations

Saeed Nezhadhosein; Sahar Mohammadkhan Sartip

Volume 3, Issue 2 , January 2018, , Pages 59-76

https://doi.org/10.30473/coam.2020.46435.1116

Abstract
  Following the setting of the Dai-Liao (DL) parameter in conjugate gradient (CG) methods‎, ‎we introduce two new parameters based on the modified secant equation proposed by Li et al‎. ‎(Comput‎. ‎Optim‎. ‎Appl‎. ‎202:523-539‎, ‎2007) with two approaches‎, ...  Read More