An International Journal of Optimization and Control: Theories & Applications (IJOCTA) 2022-06-13T00:34:45+03:00 Prof. Dr. Ramazan YAMAN Open Journal Systems <table> <tbody> <tr> <td width="230"> <p><img title="ijocta_newr_511" src="" alt="ijocta_newr_511" width="163" height="211" /><br />ISSN: 2146-0957<br />eISSN: 2146-5703</p> <p> </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 (IJOCTA)</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> </td> </tr> <tr> <td> </td> <td> </td> </tr> </tbody> </table> Optimizing seasonal grain intakes with non-linear programming: An application in the feed industry 2022-06-12T22:18:49+03:00 Alperen Ekrem Çelikdin <p class="Abstract1"><span class="Abstract1Char"><span lang="EN-US">In the feed sector, 95% of the input costs arise from the supply of raw materials used in feed production. The selling price is determined by competition in free market conditions. Due to the use of similar technologies and the very small share of production costs in total costs, it is unlikely that a competitive advantage will be gained through innovations in production. Between 30% and 50% of grain products are used in feed ration analysis. Cereals can only be harvested at a certain time of the year. Due to this limited time frame, feed production enterprises have to balance their financial burdens with their operational needs while making their annual stocks. The study was carried out to cover all the relevant businesses of the company, which has feed factories in four regions of Turkey. Based on the season data of the year 2020-2021, the grain purchase planning for the year 2021-2022 was tried to be optimized with non-linear programming. While creating the mathematical model, grain prices, interest rates, production needs according to production planning, sales according to sales forecasts, factory stocking capacities, licensed warehouse rental, transportation, handling and transshipment costs were taken into account.</span></span></p> <p class="Abstract1"><span class="Abstract1Char"><span lang="EN-US">With this unique paper, in the cattle feed production sector, storage, transportation and handling costs will be minimized. Cost advantage will be provided with optimum purchase planning in the season. According to the grain pricing forecast and market data for the 2021-2022 season, </span></span><span lang="EN-US">model can provide a cost advantage of 0.7%. Model <span class="Abstract1Char">will also provide insight to the managers for additional storage space investments.</span></span></p> 2022-06-12T00:00:00+03:00 Copyright (c) 2022 Alperen Ekrem Çelikdin Rotor design optimization of a synchronous generator by considering the damper winding effect to minimize THD using grasshopper optimization algorithm 2022-06-13T00:34:45+03:00 Aslan Deniz Karaoglan Deniz Perin <p class="Abstract1"><span class="Abstract1Char"><span lang="EN-US">The aim of this study is to calculate the optimum factor levels for the design parameters namely slot pitch, center slot pitch, and damper width to keep the magnetic flux density distribution in a desired range while minimizing the total harmonic distortion (THD). For this purpose, the numerical simulations are performed in the Maxwell environment. Then by the aid of regression modeling over this simulation results; the mathematical equations between the responses (THD and magnetic flux density distribution) and the factors are calculated. After the modeling phase, grasshopper optimization algorithm (GOA) is run through these regression equations to determine the optimum values of the rotor design parameters (factors). The confirmations are also performed in the Maxwell environment and the result indicated that the THD is minimized and the magnetic flux density distribution on the teeth is kept in a desired range.</span></span></p> 2022-06-13T00:00:00+03:00 Copyright (c) 2022 Aslan Deniz Karaoglan, Deniz Perin