An International Journal of Optimization and Control: Theories & Applications (IJOCTA) <p> </p> <table> <tbody> <tr> <td width="230"> <p><img src="" alt="" width="218" height="308" /></p> <p><br />ISSN: 2146-0957<br />eISSN: 2146-5703</p> <p><strong>PUBLISHER</strong><br /><span style="color: #306754;"><a href="[]=MUST=allissnbis=%222146-0957%22&amp;search_id=28394838" target="_blank" rel="noopener">YAMAN, Ramazan</a> </span><br />Istanbul Atlas University / Turkey</p> <p><strong>EDITOR IN CHIEF</strong><br /><span style="color: #306754;"><a href="" target="_blank" rel="noopener">YAMAN, Ramazan</a> </span><br />Istanbul Atlas University / Turkey</p> <p><a href=""><em>View the full editorial board</em></a></p> </td> <td> <p><strong>Aims and Scope</strong><br /><em>An International Journal of Optimization and Control: Theories &amp; Applications</em> is a scientific, peer-reviewed, open-access journal that publishes original research papers and review articles of high scientific value in all areas of applied mathematics, optimization and control. It aims to focus on multi/inter-disciplinary research into the development and analysis of new methods for the numerical solution of real-world applications in engineering and applied sciences. The basic fields of this journal cover mathematical modeling, computational methodologies and (meta)heuristic algorithms in optimization, control theory and their applications. Note that new methodologies for solving recent optimization problems in operations research must conduct a comprehensive computational study and/or case study to show their applicability and practical relevance.</p> <p><strong>Journal Topics</strong> <br />The topics covered in the journal are (not limited to): <br />Applied Mathematics, Financial Mathematics, Control Theory, Optimal Control, Fractional Calculus and Applications, Modeling of Bio-systems for Optimization and Control, Linear Programming, Nonlinear Programming, Stochastic Programming, Parametric Programming, Conic Programming, Discrete Programming, Dynamic Programming, Nonlinear Dynamics, Stochastic Differential Equations, Optimization with Artificial Intelligence, Operational Research in Life and Human Sciences, Heuristic and Metaheuristic Algorithms in Optimization, Applications Related to Optimization in Engineering.</p> <p> </p> <p> </p> </td> </tr> <tr> <td> </td> <td> </td> </tr> </tbody> </table> Ramazan YAMAN en-US An International Journal of Optimization and Control: Theories & Applications (IJOCTA) 2146-0957 <p>Articles published in IJOCTA are made freely available online immediately upon publication, without subscription barriers to access. All articles published in this journal are licensed under the Creative Commons Attribution 4.0 International License (<a href="">click here</a> to read the full-text legal code). This broad license was developed to facilitate open access to, and free use of, original works of all types. Applying this standard license to your work will ensure your right to make your work freely and openly available.</p><p>Under the Creative Commons Attribution 4.0 International License, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles in IJOCTA, so long as the original authors and source are credited.</p><p><strong>The readers are free to:</strong></p><ul><li><strong>Share</strong> — copy and redistribute the material in any medium or format</li><li><strong>Adapt</strong> — remix, transform, and build upon the material</li><li>for any purpose, even commercially.</li><li>The licensor cannot revoke these freedoms as long as you follow the license terms.</li></ul><p><strong>under the following terms:</strong></p><ul><li><strong>Attribution</strong> — You must give <strong>appropriate credit</strong>, provide a link to the license, and <strong>indicate if changes were made</strong>. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.</li></ul><ul><li><strong>No additional restrictions</strong> — You may not apply legal terms or <strong>technological measures</strong> that legally restrict others from doing anything the license permits.</li></ul><p> <a href="" rel="license"><img src="" alt="Creative Commons License" /></a> This work is licensed under a <a href="" rel="license" target="_blank">Creative Commons Attribution 4.0 International License</a>.</p> Examination and experimental comparison of dc/dc buck converter topologies used in wireless electric vehicle charging applications <p>The studies on Wireless Power Transfer (WPT) technology and peripherals in Electric Vehicle (EV) applications are intensifying. While the energy received from the WPT system is transferred to the EV battery, the direct current (dc)/dc converter circuits are used. The dc/dc buck converter topologies are one of them. The converter circuits must be highly efficient, lightweight, and compact to have a high range in EV vehicles. There are asynchronous buck, synchronous buck, and interleaved synchronous buck converter circuit topologies from the literature. In this study, the efficiency results of these circuit topologies were analyzed using MATLAB/Simulink and experimental studies. This study contributes to the literature by conducting circuit-level efficiency analysis and component-level power loss analysis. It has been observed that the interleaved synchronous buck converter circuit operates at 99% efficiency at 1066 W. In addition, it has been shared with the oscilloscope results that the current ripples of this circuit topology are lower than other circuit converters. Specifically, there has been a significant reduction of 56% in power losses, particularly in the interleaved synchronous buck converter (ISBC). This study analyzes the dynamic behavior of the dc/dc buck converter topologies, and results about their performance are given.</p> Hakan Akca Ahmet Aktas Copyright (c) 2024 Hakan Akca, Ahmet Aktas 2024-02-29 2024-02-29 14 2 81 89 10.11121/ijocta.1503 New generalized integral transform via Dzherbashian-Nersesian fractional operator <p>In this paper, we derive a new generalized integral transform on Dzherbashian–Nersesian fractional operator and give some special cases. We make a generalization of the application of integral transformations to different fractional operators, where several previous results can be invoked from a single relation. We also use the new results obtained to solve some fractional differential equations involving the recent revival of Dzherbashian-Nersesian fractional operators.</p> Rachid Belgacem Ahmed Bokhari Dumitru Baleanu Salih Djilali Copyright (c) 2024 Rachid Belgacem, Ahmed Bokhari, Dumitru Baleanu, Salih Djilali 2024-03-18 2024-03-18 14 2 90 98 10.11121/ijocta.1449 Some results regarding observability and initial state reconstruction for time-fractional systems <p>The aim of this study is to present the notion of observability for a specific class of linear time-fractional systems of Riemann-Liouville type with a differentiation order between 1 and 2. To accomplish this goal, we first define the concept of observability and its features, then we extend the Hilbert Uniqueness Method (HUM) to determine the system's initial state. This method converts the reconstruction problem into a solvability one, leading to an algorithm that calculates the initial state. The effectiveness of the proposed algorithm is demonstrated through numerical simulations, which are presented in the final section.</p> Hamza Ben Brahim Fatima-Zahrae El Alaoui Khalid Zguaid Copyright (c) 2024 Hamza Ben Brahim, Fatima-Zahrae El Alaoui, Khalid Zguaid 2024-03-21 2024-03-21 14 2 99 112 10.11121/ijocta.1468 Proposing a novel mathematical model for hospital pneumatic system <p class="Abstract1">Hospital Pneumatic Systems, specializing in pneumatic systems, are among the most essential components for hospitals. It offers efficient and cost-effective solutions to problems related to the transportation of various materials in hospitals. However, in existing systems, the need for compressed air is met without worrying about cost control and without depending on the sample transported, and this not only makes the system inefficient but also may cause sample degradation. The main purpose of this study is to provide speed/pressure control according to the type of material transported to eliminate the disadvantages of existing systems such as energy use and sample degradation. In this study, a new mathematical model is presented that can be used to make more energy-efficient hospital pneumatic systems. Although there are many studies on various pneumatic systems in the literature, there is not enough for the control of hospital pneumatic systems. According to the results obtained in this study, the system parameters were determined and the mathematical model of the system was obtained by using the Multivariate nonlinear regression method. A genetic algorithm was used to test the validity of the obtained mathematical model and to optimize the coefficient of the input parameters of the model. It is expected that this proposed model will contribute to the use of hospital pneumatic systems and provide a scientific and practical solution to the proposed mathematical model. The proposed mathematical model provides up to %43 more efficient transportation over the currently used system that has been tested.</p> Büşra Takgil Resul Kara Copyright (c) 2024 Bü?ra Takgil, Resul Kara 2024-03-23 2024-03-23 14 2 113 122 10.11121/ijocta.1489 Rotor design optimization of a 4000 rpm permanent magnet synchronous generator using moth flame optimization algorithm <p class="Abstract1"><span class="Abstract1Char"><span lang="EN-US">The goal of this paper is to optimize the rotor design parameters of 4000 rpm permanent magnet synchronous generator. The factors namely embrace, offset, outer diameter, and magnet thickness are selected as the design parameters those will be optimized in order to hold the magnetic flux density (MFD) distribution and the flux density on stator teeth and stator yoke within a desirable range while maximizing efficiency. The numerical simulations are carried out in the Maxwell environment for this purpose. The mathematical relationships between the responses and the factors are then derived using regression modeling over the simulation data. Following the modeling phase, the moth flame optimization is applied to these regression models to optimize the rotor design parameters. The motivation is determining mathematical relation between the important design parameters of the high speed generator and the measured responses, when standard M530-50A lamination material is used and then to demonstrate the utility of MFO to the readers on this design problem. The optimum factor levels for embrace, offset, outer diameter, and magnet thickness are calculated as 0.68, 30, 161.56, and 8.92 respectively. Additionally, confirmations are done by using Maxwell and the efficiency is calculated as 94.85%, and magnetic distributions are calculated as 1.64, 0.26, and 0.93 Tesla for stator teeth flux density, stator yoke flux density, and MFD; respectively. The results show that the efficiency is maximized and the magnetic distributions are kept within an appropriate range.</span></span></p> Deniz Perin Aslan Deniz Karaoglan Kemal Yilmaz Copyright (c) 2024 Deniz Perin, Aslan Deniz Karaoglan, Kemal Yilmaz 2024-03-26 2024-03-26 14 2 123 133 10.11121/ijocta.1407 A Fractional-order mathematical model to analyze the stability and develop a sterilization strategy for the habitat of stray dogs <p>Today, the socio-cultural lack of some countries with increased urbanization has led to the unconscious breeding of stray dogs. The failure to care for the offspring of possessive dogs or ignoring the responsibility to find a suitable family for the offspring increased the dog population on the streets and in the shelters. In this study, our main target is to analyze the habitat of stray dogs and the strategy of how to control the population without damaging the ecosystem of the species. For this aim, we establish a fractional-order differential equation system to investigate the fractal dimension with long-term memory that invovles two compartments; the non-sterilized dog population (x(t)) and the sterilized one (y(t)). Firstly, we analyze the stability of the equilibrium points using the Routh-Hurwitz criteria to discuss cases that should not affect the ecosystem of the dog population, but control the stray dog population in the habitat. Since the intervention to the stray dog population occurs at discrete time impulses, we use the Euler method's discretization process to analyse the local and global stability around the equilibrium points. Besides this, we show that the solutions of the system represent semi-cycle behaviors. At the end of the study, we use accurate data to demonstrate the sterilization rate of stray dogs in their habitat.</p> Zafer Öztürk Ali Yousef Halis Bilgil Sezer Sorgun Copyright (c) 2024 Zafer Öztürk, Ali Yousef, Halis Bilgil, Sezer Sorgun 2024-03-30 2024-03-30 14 2 134 146 10.11121/ijocta.1418 Dislocation hyperbolic augmented Lagrangian algorithm in convex programming <p>The dislocation hyperbolic augmented Lagrangian algorithm (DHALA) is a new approach to the hyperbolic augmented Lagrangian algorithm (HALA). DHALA is designed to solve convex nonlinear programming problems. We guarantee that the sequence generated by DHALA converges towards a Karush-Kuhn-Tucker point. We are going to observe that DHALA has a slight computational advantage in solving the problems over HALA. Finally, we will computationally illustrate our theoretical results.</p> Lennin Mallma Ramirez Nelson Maculan Adilson Elias Xavier Vinicius Layter Xavier Copyright (c) 2024 Lennin Mallma Ramirez, Nelson Maculan, Adilson Elias Xavier, Vinicius Layter Xavier 2024-04-07 2024-04-07 14 2 147 155 10.11121/ijocta.1402