In collaboration with Payame Noor University and the Iranian Society of Instrumentation and Control Engineers
Volume 9 (2024)
Issue 1 Open Access Policy
Winter-Spring ‎‎2024
Volume 8 (2023)
Volume 7 (2022)
Volume 6 (2021)
Volume 5 (2020)
Volume 4 (2019)
Volume 3 (2018)
Volume 2 (2017)
Volume 1 (2016)

                     Journal Metrics

Number of Volumes 9
Number of Issues 17
Article View 74,976
PDF Download 54,203
View Per Article 663.5
PDF Download Per Article 479.67
Acceptance Rate 60
Time to Accept (Days) 145
Number of Indexing Databases 6

 

Control and Optimization in Applied Mathematics -COAM is an open access and peer-reviewed bi-quarterly journal dedicated to the advancement of applied mathematics in the fields of Control and Optimization.

Papers are subject to a double-blind peer review process to ensure the quality of their underlying research methodology and argument. 

The submitted papers will be published after review as well as the approval of the editorial board. The journal was established by Payame Noor University. The honorable professors and researchers are highly appreciated if they visit this site, register, submit and set up their papers based on authors guidelines. Therefore, visiting in person or calling the journal office are not recommended, so all connections with authors and reviewers are done through the website. The journal provides article download statistics.

 

Open Access Statement:

This journal is a fully access journal which means that all articles are available on the internet to all users immediately upon publication Non-commercial use and distribution in any medium is permitted, provided the author and the journal are properly credited.

Benefits of open access for authors, include:

  • Free access for all users worldwide
  • Authors retain copyright to their work
  • Increased visibility and readership
  • Rapid publication
  • No spatial constraints

Articles’ review and publishing charge:

  1. 3,000,000 Rls. For articles’ acceptance
  2. 3,000,000 Rls. For publishing (The total charge includes 6,000,000 Rls. for each article)

Open Access Statement:

This journal is a fully access journal which means that all articles are available on the internet to all users immediately upon publication Non-commercial use and distribution in any medium is permitted, provided the author and the journal are properly credited.

Benefits of open access for authors include:

    • Free access for all users worldwide
    • Authors retain copyright to their work
    • Increased visibility and readership
    • Rapid publication
    • No spatial constraints

Bibliographic Information

Title

Control and Optimization in Applied Mathematics -COAM

ISSN

Print:2383-3130

Online: 2538-5615

Coverage

Control Theory

Optimization

Optimal Control

Robust Control

Fuzzy Control

Stochastic Systems

Control Theory in Medicine

Distributed Systems

Expert Systems

Adaptive Control

Stability Analysis

Non-Linear Control

Calculus of Variations

Operation Research Modeling

Analysis and its Application in Optimization

Mathematical Programming

Fractional Systems

Soft Computing

Project Planning and Control

Hybrid Systems

Mathematical Finance

Numerical Methods, Simulation

Management and Optimization

Graph Theory and its Applications

Optimization Algorithms

Deep Learning, Data Mining

Transportation and Traffic Optimization

Artificial Neural Networks

Data envelopment Analysis-DEA

Optimization in Mathematical Education

Related Topics

Language

English

Start Year

2013

Frequency

Bi-quarterly

Place of Publication

Iran

Publisher

Payame Noor University

Status

Active

Initial review period:

7 working days

Publication method

Online and print publishing

Type of publishable articles

Research/Original/Regular Article, Review Article, Short Paper, Case-study, Methodologies, Applied Article, Conceptual Paper, Viewpoint/Perspective/Opinion, Promotional Paper

Refereed

Yes

Type of Access

Open Access (OA)

Type of License

CC- BY

Plagiarism Detection Software

iThenticate

Type of Publication

Online submission: Free 

Full-text access: Open Access

Revenue Sources

Institutional support, Donation

Type of Material

Serial (Periodical)

Email

mathco@pnu.ac.ir

This journal is subject to COPE criteria with respect to the rules of Publication ethics and follows the executive regulations for preventing and combating fraud in scientific works.

Research Article Control and Optimization
A Fuzzy Sliding Mode Control for Nonlinear Leader-Follower Multi-Agent Systems

Negar Izadi; Mohammad Taghi Dastjerdi

Volume 9, Issue 1 , May 2024, Pages 1-34

https://doi.org/10.30473/coam.2023.64817.1209

Abstract
  In this paper‎, ‎we present a new approach for achieving leader-follower consensus in a network of nonlinear dynamic agents with an undirected graph topology‎, ‎using a fuzzy sliding mode controller (FSMC) for Multi-Agent Systems (MASs)‎. ‎Our proposed sliding mode controller ...  Read More

Research Article Control and Optimization
Dynamical Behaviour of Fractional Order ‎‎SEIR‎ ‎Mathematical Model for Infectious Disease Transmission

Reza Akbari; Leader Navaei; Mohammad Shahriari

Volume 9, Issue 1 , May 2024, Pages 35-48

https://doi.org/10.30473/coam.2023.64849.1210

Abstract
  This paper presents an extension of the SEIR mathematical model for infectious disease‎ ‎transmission to a fractional-order model‎. ‎The model is formulated using the Caputo derivative of order α ∈ (0, 1]‎. ‎We study the stability of equilibrium points‎, ‎including ...  Read More

Research Article Control and Optimization
Efficient Solution of Nonlinear Unconstraint Optimization Problems using Quasi-Newton's Method‎: ‎A Revised Approach

Hajar Alimorad

Volume 9, Issue 1 , May 2024, Pages 49-65

https://doi.org/10.30473/coam.2023.64138.1204

Abstract
  While many real-world optimization problems typically involve multiple constraints, unconstrained problems hold practical and fundamental significance. They can arise directly in specific applications or as transformed versions of constrained optimization problems.‎ ‎Newton's method‎, ...  Read More

Research Article Control and Optimization
Hesitant Fuzzy Equation

Fatemeh Babakordi; Nemat Allah ‎Taghi-Nezhad

Volume 9, Issue 1 , May 2024, Pages 67-79

https://doi.org/10.30473/coam.2023.68208.1240

Abstract
  This paper presents the introduction of two novel equation types: the partial hesitant fuzzy equation and the half hesitant fuzzy equation‎. Additionally, ‎ an efficient method is proposed to solve these equations by defining four solution categories: Controllable‎, ‎Tolerable Solution ...  Read More

Research Article Control and Optimization
Big Data Analytics and Data Mining Optimization Techniques for Air Traffic Management

Abbas Ali Rezaee; Hadis Ahmadian Yazdi; Mahdi Yousefzadeh Aghdam; Sahar Ghareii

Volume 9, Issue 1 , May 2024, Pages 81-96

https://doi.org/10.30473/coam.2023.66151.1222

Abstract
  With the advancements in science and technology‎, ‎the industrial and aviation sectors have witnessed a significant increase in data‎. ‎A vast amount of data is generated and utilized continuously‎. ‎It is imperative to employ data mining techniques to extract and uncover knowledge ...  Read More

Research Article Control and Optimization
Optimizing Supply Chain Design for Sustainability and Reliability‎: ‎A Comparative Study of Augmented Epsilon‎‎‎ and Normalized Normal Constraint Methods

Sajad Amirian; Maghsoud Amiri; Mohammad Taghi Taghavifard

Volume 9, Issue 1 , May 2024, Pages 97-130

https://doi.org/10.30473/coam.2023.67540.1230

Abstract
  Integrating sustainability and reliability represents a synergistic approach that can be explored through the problem of a closed-loop supply chain network design (SCND)‎. ‎This study is conducted in three stages‎: ‎mathematical modeling‎, ‎model solution using exact methods‎, ...  Read More

Research Article Control and Optimization
An Efficient Variable Neighborhood Search for Solving Multi-Criteria Project Portfolio Selection

Ali Akbar Sohrabi; Reza Ghanbari; Khatere Ghorbani-Moghadam

Volume 9, Issue 1 , May 2024, Pages 131-147

https://doi.org/10.30473/coam.2023.65380.1213

Abstract
  Project portfolio selection is a critical challenge for many organizations as they often face budget constraints that limit their ability to support all available projects‎. ‎To address this issue‎, ‎organizations seek to select a feasible subset of projects that maximizes utility‎. ...  Read More

Research Article Control and Optimization
Solving Fractional Optimal Control-Affine Problems via Fractional-Order Hybrid Jacobi Functions

Zeinab Barary; AllahBakhsh Yazdani Cherati; Somayeh Nemati

Volume 9, Issue 1 , May 2024, Pages 149-168

https://doi.org/10.30473/coam.2023.68826.1243

Abstract
  This paper proposes and analyzes an applicable approach for numerically computing the solution of fractional optimal control-affine problems. The fractional derivative in the problem is considered in the sense of Caputo. The approach is based on a fractional-order hybrid of block-pulse functions and ...  Read More

Research Article Control and Optimization
Solving Linear Fractional Programming Problems in Uncertain Environments‎: ‎A Novel Approach with Grey Parameters

Farid Pourofoghi; Davood Darvishi Salokolaei

Volume 9, Issue 1 , May 2024, Pages 169-183

https://doi.org/10.30473/coam.2023.67881.1235

Abstract
  Fractional programming is a significant nonlinear planning tool within operation research‎. ‎It finds applications in diverse domains such as resource allocation‎, ‎transportation‎, ‎production programming‎, ‎performance evaluation‎, ‎and finance‎. ‎In ...  Read More

Research Article Control and Optimization
A Hybrid Floyd-Warshall and Graph Coloring Algorithm for Finding the Smallest Number of Colors Needed for a Distance Coloring of Graphs

Hanifa Mosawi; Mostafa Tavakolli; Khatere Ghorbani-Moghadam

Volume 9, Issue 1 , May 2024, Pages 185-194

https://doi.org/10.30473/coam.2023.68880.1244

Abstract
  Graph coloring is a crucial area of research in graph theory, with numerous algorithms proposed for various types of graph coloring, particularly graph p-distance coloring‎. In this study, we employ a recently introduced graph coloring algorithm to develop a hybrid algorithm approximating the chromatic ...  Read More

Research Article Control and Optimization
Mathematical Modeling and Optimal Control of Carbon Dioxide Emissions

Fahimeh Akhavan Ghassabzade; Mina Bagherpoorfard

Volume 9, Issue 1 , May 2024, Pages 195-202

https://doi.org/10.30473/coam.2023.67777.1233

Abstract
  ‎This paper aims to demonstrate the flexibility of mathematical models in analyzing carbon dioxide emissions and account for memory effects. ‎The use of real data amplifies the importance of this study‎. ‎This research focuses on developing a mathematical model utilizing fractional-order ...  Read More

Research Article Control and Optimization
Optimality Conditions for Properly Efficient Solutions of Nonsmooth Multiobjective GSIP

Ali Asghar Hojatifard; Nader Kanzi; ‎Shahriar Farahmand Rad

Volume 9, Issue 1 , May 2024, Pages 203-219

https://doi.org/10.30473/coam.2023.67823.1234

Abstract
  This paper aims to establish first-order necessary optimality conditions for non-smooth multi-objective generalized semi-infinite programming problems‎. ‎These problems involve inequality constraints whose index set depends on the decision vector‎, ‎and all emerging functions are assumed ...  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

Control and Optimization
Comparative Analysis of Machine Learning Algorithms with Optimization Purposes

Rohollah Alesheykh

Volume 1, Issue 2 , October 2016, , Pages 63-75

Abstract
  The field of optimization and machine learning are increasingly interplayed and optimization in different problems leads to the use of machine learning approaches‎. ‎Machine learning algorithms work in reasonable computational time for specific classes of problems and have important role in extracting ...  Read More

Control and Optimization
Approximate Pareto Optimal Solutions of Multi objective Optimal Control Problems by Evolutionary Algorithms

Akbar Hashemi Borzabadi; Manije Hasanabadi; Navid Sadjadi

Volume 1, Issue 1 , April 2016, , Pages 1-19

Abstract
  In this paper an approach based on evolutionary algorithms to find Pareto optimal pair of state and control for multi-objective optimal control problems (MOOCP)'s is introduced‎. ‎In this approach‎, ‎first a discretized form of the time-control space is considered and then‎, ‎a ...  Read More

Control and Optimization
Fuzzy Number-Valued Fuzzy Graph

Siyamak Firouzian; Mohamad Adabitabar Firozja

Volume 1, Issue 2 , October 2016, , Pages 77-86

Abstract
  Graph theory has an important role in the area of applications of networks and clustering‎. ‎In the case of dealing with uncertain data‎, ‎we must utilize ambiguous data such as fuzzy value‎, ‎fuzzy interval value or values of fuzzy number‎. ‎In this study‎, ‎values ...  Read More

Control and Optimization
The Control Parametrization Enhancing Technique for Multi-Objective Optimal Control of HIV Dynamic

Hassan Zarei

Volume 1, Issue 2 , October 2016, , Pages 1-21

Abstract
  In this paper‎, ‎a computational approach is adopted for solving a multi-objective optimal control problem (MOOCP) formulation of optimal drug scheduling in human immunodeficiency (HIV) virus infected by individuals‎. ‎The MOOCP‎, ‎which uses a mathematical model of HIV infection‎, ...  Read More

Research Article
Control and Synchronization of the Genesio-Tesi Chaotic System‎: ‎A Contraction Analysis-Based Graphical Method‎

Mehdi Zavieh; Hossein Kheiri; Bashir Naderi

Articles in Press, Accepted Manuscript, Available Online from 28 June 2023

https://doi.org/10.30473/coam.2023.65079.1211

Abstract
  In this paper‎, ‎we use a graphical algorithm to control and synchronization of a chaotic system‎. ‎Most of the controllers designed for synchronizing chaotic systems are complex‎, ‎but the controllers designed using contraction and graphical methods are often simple and linear‎. ...  Read More

Research Article Control and Optimization
Optimal Adaptive Sliding Mode Control for a Class of Nonlinear Affine Systems

Masoomeh Ebrahimipour; Saeed Nezhadhosein‎; Seyed Mehdi Mirhosseini-Alizamini

Articles in Press, Accepted Manuscript, Available Online from 23 November 2023

https://doi.org/10.30473/coam.2023.67868.1236

Abstract
  This paper presents an optimal robust adaptive technique for controlling a certain class of uncertain nonlinear affine systems‎. ‎The proposed approach combines sliding mode control‎, ‎a linear quadratic regulator for optimality, and gradient descent as an adaptive controller‎. ‎ ...  Read More

Research Article Control and Optimization
An Adaptive Time-Stepping Algorithm to Solve a Stochastic Lotka-Volterra Competition System with Time-Variable Delays

Ali Valinejad; Afshin Babaei; Zahra Zarei

Articles in Press, Accepted Manuscript, Available Online from 10 May 2024

https://doi.org/10.30473/coam.2024.67940.1237

Abstract
  ‎This paper introduces ‎a variable step size strategy for a stochastic time-delays Lotka-Volterra competition system‎. ‎This adaptive strategy utilizes the Milstein method for numerical solutions. It employs two local error estimates, corresponding to the diffusion and drift components ...  Read More

Research Article Control and Optimization
A Multi-Objective Model for Humanitarian Logistics Model During an Earthquake Crisis‎: ‎A Case Study of Iran

Maryam Yaghoubi; Fatemeh Dadmand

Articles in Press, Accepted Manuscript, Available Online from 17 May 2024

https://doi.org/10.30473/coam.2024.68031.1238

Abstract
  Natural disasters‎, ‎such as earthquakes‎, ‎result in significant financial and human losses‎. ‎Rescue operations play a crucial role in managing such crises‎. ‎However‎, ‎the lack of precise information and the damage or destruction of urban transportation routes ...  Read More

Research Article Control and Optimization
On Constraint Qualifications and Optimality Conditions in‎ ‎Nonsmooth Semi-infinite Optimization

Atefeh Hassani Bafrani

Articles in Press, Accepted Manuscript, Available Online from 12 June 2024

https://doi.org/10.30473/coam.2024.69322.1247

Abstract
  The primary objective of this paper is to enhance several well-known geometric constraint qualifications and necessary optimality conditions for nonsmooth semi-infinite optimization problems (SIPs). We focus on defining novel algebraic Mangasarian-Fromovitz type constraint qualifications, and on presenting ...  Read More

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