Control and Optimization in Applied Mathematics

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

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Volume 8 (2023)
Issue 1 Open Access Policy
Winter-Spring 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 8
Number of Issues 15
Article View 64,922
PDF Download 46,842
View Per Article 655.78
PDF Download Per Article 473.15
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
Solving a Class of Nonlinear Optimal Control Problems Using Haar Wavelets and Hybrid GA

Saeed Nezhadhosein‎; Reza Ghanbari; Khatere Ghorbani-Moghadam

Volume 8, Issue 1 , June 2023, Pages 1-17

https://doi.org/10.30473/coam.2023.65549.1214

Abstract
  In this paper, we solve a class of nonlinear optimal control problems using a hybrid genetic algorithm (HGA) and a direct method based on the Haar wavelets where the performance index is Bolza-form and the dynamic system is linear‎. ‎First‎, ‎we change the problem by using HWs to a static ...  Read More
Research Article
A Proximal Method of Stochastic Gradient for Convex Optimization

Zeinab Saeidian; Maryam Mahmoudoghli

Volume 8, Issue 1 , June 2023, Pages 19-32

https://doi.org/10.30473/coam.2023.64060.1205

Abstract
  ‎The Proximal Stochastic Average Gradient (Prox-SAG+) is a primary method used for solving optimization problems that contain the sum of two convex functions. This kind of problem usually arises in machine learning, which utilizes a large amount of data to create component functions from a dataset. ...  Read More
Research Article
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
Research Article
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
Research Article
Mathematical Modeling Considering Agricultural and Non-Agricultural Habitats for Biological Losses on Roads

Mohammad Hossein Rahmani Doust; Mohammad Nasser Modoodi; Arash Mowdoudi

Volume 8, Issue 1 , June 2023, Pages 69-81

https://doi.org/10.30473/coam.2023.63543.1198

Abstract
  Mathematical modeling has been a significant tool in biological sciences for several decades. Modern agricultural practices have had numerous effects on different aspects of ecosystems, particularly on animal populations. This research focuses on road collisions involving wildlife and emphasizes the ...  Read More
Research Article
The Smallest Number of Colors Needed for a‎ ‎Coloring of the Square of the Cartesian Product of Certain Graphs

Sajad Sohrabi Hesan; Freydoon Rahbarnia; Mostafa Tavakolli

Volume 8, Issue 1 , June 2023, Pages 83-93

https://doi.org/10.30473/coam.2022.54855.1194

Abstract
  Given any graph G‎, ‎its square graph G^2 has the same vertex set as G, ‎with two vertices adjacent in G^2 whenever they are at distance 1 or 2 in G. ‎‎The Cartesian product of graphs G and H is denoted by G□ H. ‎‎One of the most studied NP-hard problems is the graph coloring ...  Read More
Solving a Class of Nonlinear Optimal Control Problems Using Haar Wavelets and Hybrid GA

Saeed Nezhadhosein‎; Reza Ghanbari; Khatere Ghorbani-Moghadam

Volume 8, Issue 1 , June 2023, , Pages 1-17

https://doi.org/10.30473/coam.2023.65549.1214

Abstract
  In this paper, we solve a class of nonlinear optimal control problems using a hybrid genetic algorithm (HGA) and a direct method based on the Haar wavelets where the performance index is Bolza-form and the dynamic system is linear‎. ‎First‎, ‎we change the problem by using HWs to a static ...  Read More
The Smallest Number of Colors Needed for a‎ ‎Coloring of the Square of the Cartesian Product of Certain Graphs

Sajad Sohrabi Hesan; Freydoon Rahbarnia; Mostafa Tavakolli

Volume 8, Issue 1 , June 2023, , Pages 83-93

https://doi.org/10.30473/coam.2022.54855.1194

Abstract
  Given any graph G‎, ‎its square graph G^2 has the same vertex set as G, ‎with two vertices adjacent in G^2 whenever they are at distance 1 or 2 in G. ‎‎The Cartesian product of graphs G and H is denoted by G□ H. ‎‎One of the most studied NP-hard problems is the graph coloring ...  Read More
Mathematical Modeling Considering Agricultural and Non-Agricultural Habitats for Biological Losses on Roads

Mohammad Hossein Rahmani Doust; Mohammad Nasser Modoodi; Arash Mowdoudi

Volume 8, Issue 1 , June 2023, , Pages 69-81

https://doi.org/10.30473/coam.2023.63543.1198

Abstract
  Mathematical modeling has been a significant tool in biological sciences for several decades. Modern agricultural practices have had numerous effects on different aspects of ecosystems, particularly on animal populations. This research focuses on road collisions involving wildlife and emphasizes the ...  Read More
A Proximal Method of Stochastic Gradient for Convex Optimization

Zeinab Saeidian; Maryam Mahmoudoghli

Volume 8, Issue 1 , June 2023, , Pages 19-32

https://doi.org/10.30473/coam.2023.64060.1205

Abstract
  ‎The Proximal Stochastic Average Gradient (Prox-SAG+) is a primary method used for solving optimization problems that contain the sum of two convex functions. This kind of problem usually arises in machine learning, which utilizes a large amount of data to create component functions from a dataset. ...  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
Research Article
Dose Optimization in a Fuzzy Model of High-Dose Rate Brachytherapy Problem

Mohammad Mohammadi Najafabadi; Habibeh Nazif; Fahime Soltanian

Articles in Press, Accepted Manuscript, Available Online from 30 March 2023

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

Ali Akbar Sohrabi; Reza Ghanbari; Khatere Ghorbani-Moghadam

Articles in Press, Accepted Manuscript, Available Online from 05 June 2023

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
Optimal Control of Infectious Diseases Using the Artificial Neural Networks

Rasoul Heydari Dastjerdi; Ghasem Ahmadi; Mahmood Dadkhah; Ayatollah Yari

Articles in Press, Accepted Manuscript, Available Online from 05 June 2023

https://doi.org/10.30473/coam.2023.64776.1208

Abstract
  This paper presents a novel approach using artificial neural networks to solve the SEIR (Susceptible‎, ‎Exposed‎, ‎Infected‎, ‎and Recovered) model of infectious diseases based on dynamical systems‎. ‎Optimal control techniques are employed to determine a vaccination schedule ...  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
Blockchain Technology in Optimizing Logistics Information‎ ‎Security in Business Process Technology Transfer Management

Seyed Saman Karimi; Tahmoures Sohrabi; Amir Bayat Tork

Articles in Press, Accepted Manuscript, Available Online from 01 July 2023

https://doi.org/10.30473/coam.2023.66693.1224

Abstract
  This paper discusses the challenges facing the logistics industry in the global business environment, including issues related to tracking transactions, preserving transaction privacy, and ensuring the security of logistics information. We propose a method for addressing these challenges using a blockchain-based ...  Read More
Research Article Control and Optimization
A Fuzzy Sliding Mode Control for Nonlinear Leader-Follower Multi-Agent Systems

Negar Izadi; Mohammad Taghi Dastjerdi

Articles in Press, Accepted Manuscript, Available Online from 05 July 2023

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

Hamed Soroush

Articles in Press, Accepted Manuscript, Available Online from 05 July 2023

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
Research Article Control and Optimization
Emotion Recognition for Persian Speech Using Convolutional Neural Network and Support Vector Machine

Saeed Hashemi; Saeed Ayat

Articles in Press, Accepted Manuscript, Available Online from 07 August 2023

https://doi.org/10.30473/coam.2023.66718.1226

Abstract
  The paper discusses the limitations of emotion recognition in Persian speech due to inefficient feature extraction and classification tools‎. ‎To address this‎, ‎we propose a new method for detecting hidden emotions in Persian speech with higher recognition accuracy‎. ‎The method ...  Read More
Research Article Control and Optimization
Graph Feature Selection for Anti-Cancer Plant Recommendation

Mahmood Amintoosi; Eisa Kohan-Baghkheirati

Articles in Press, Accepted Manuscript, Available Online from 04 September 2023

https://doi.org/10.30473/coam.2023.67660.1231

Abstract
  Every year‎, ‎extensive experimental analysis is conducted to evaluate the anti-cancer properties of plants‎. ‎Developing a well-ranked list of potential anti-cancer plants based on verified anti-cancer metabolites can significantly reduce the time and cost required for plant evaluation‎. ...  Read More
Control and Optimization in Applied Mathematics

Publisher:
Payame Noor University (PNU)

Director-in-Charge:
Khadijeh Ahmadi Amoli

Editor-in-Chief:
Aghileh Heydari

Manager:
Hamid Reza Yousefzadeh

Editorial Board:
Asad Azemi Adil Bagirov Giuseppe Caristi Alireza Fakharzadeh Jahromi Akbar Hashemi Borzabadi Aghileh Heydari Nader Kanzi Ali Karimpour Davod Khojasteh Salkuyeh Iraj Mahdavi Naser Pariz Hamed Reza Tareghian Mahdi Tavakoli Chefi Tiriki Ali Vahidian Kamyad Bahmann Yousefi Chongqi Zhang Alireza Kabgani Bahram Farhadinia

Frequency: Semiannual

Print ISSN: 2383-3130

Online ISSN: 2538-5615

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This work is licensed under a Creative Commons Attribution License 4.0 International (CC-BY 4.0).

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Collaboration Agreement of COAM and Iranian Society of Instrumentation and Control Engineers

Collaboration Agreement of COAM and the Iranian Operations Research Society (I.O.R.S)

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