International Journal of Optimization and Control: Theories and Applications最新文献_第4页

Localization of an ultra wide band wireless endoscopy capsule inside the human body using received signal strength and centroid algorithm 利用接收信号强度和质心算法对人体内超宽带无线内窥镜胶囊进行定位

IF 1.6

International Journal of Optimization and Control: Theories and Applications Pub Date : 2022-07-26 DOI: 10.11121/ijocta.2022.1146

Memduh Suveren, Rustu Akay, M. Kanaan

引用次数: 1

Uncertainty-based Gompertz growth model for tumor population and its numerical analysis 基于不确定性的肿瘤种群Gompertz生长模型及其数值分析

IF 1.6

International Journal of Optimization and Control: Theories and Applications Pub Date : 2022-07-14 DOI: 10.11121/ijocta.2022.1208

Aadil Rashid Sheergojri, P. Iqbal, P. Agarwal, Necati Ozdemir

{"title":"Uncertainty-based Gompertz growth model for tumor population and its numerical analysis","authors":"Aadil Rashid Sheergojri, P. Iqbal, P. Agarwal, Necati Ozdemir","doi":"10.11121/ijocta.2022.1208","DOIUrl":"https://doi.org/10.11121/ijocta.2022.1208","url":null,"abstract":"For treating cancer, tumor growth models have shown to be a valuable resource, whether they are used to develop therapeutic methods paired with process control or to simulate and evaluate treatment processes. In addition, a fuzzy mathematical model is a tool for monitoring the influences of various elements and creating behavioral assessments. It has been designed to decrease the ambiguity of model parameters to obtain a reliable mathematical tumor development model by employing fuzzy logic.The tumor Gompertz equation is shown in an imprecise environment in this study. It considers the whole cancer cell population to be vague at any given time, with the possibility distribution function determined by the initial tumor cell population, tumor net population rate, and carrying capacity of the tumor. Moreover, this work provides information on the expected tumor cell population in the maximum period. This study examines fuzzy tumor growth modeling insights based on fuzziness to reduce tumor uncertainty and achieve a degree of realism. Finally, numerical simulations are utilized to show the significant conclusions of the proposed study.","PeriodicalId":37369,"journal":{"name":"International Journal of Optimization and Control: Theories and Applications","volume":"32 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2022-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78369071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

A belief-degree based multi-objective transportation problem with multi-choice demand and supply 基于置信度的多目标运输问题

IF 1.6

International Journal of Optimization and Control: Theories and Applications Pub Date : 2022-07-12 DOI: 10.11121/ijocta.2022.1166

Vandana Kakran, J. Dhodiya

{"title":"A belief-degree based multi-objective transportation problem with multi-choice demand and supply","authors":"Vandana Kakran, J. Dhodiya","doi":"10.11121/ijocta.2022.1166","DOIUrl":"https://doi.org/10.11121/ijocta.2022.1166","url":null,"abstract":"This paper focusses on the development of a Multi-choice Multi-objective Transportation Problem (MCMOTP) in the uncertain environment. The parameters associated with the objective functions in MCMOTP are regarded as uncertain variables and the other parameters associated with supply capacity and demand requirements are considered under the multi-choice environment. In this paper, two ranking criteria have been utilized to convert the uncertain objectives into their crisp form. Using these two ranking criteria for the uncertain MCMOTP model, two deterministic models have been developed namely, Expected Value Model (EV Model) and Optimistic Value Model (OV Model). The multi-choice parameters in the constraints are converted to a single choice parameters with the help of binary variable approach. The EV and OV models are solved directly in the LINGO 18.0 software using minimizing distance method and fuzzy programming technique. At last, a numerical illustration is provided to demonstrate the application and algorithm of the models. The sensitivity of the objective functions in OV Model is also examined with respect to the confidence levels to investigate variation in the objective functions.","PeriodicalId":37369,"journal":{"name":"International Journal of Optimization and Control: Theories and Applications","volume":"72 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87984705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Financial efficiency of companies operating in the Kosovo food sector: DEA and DEAHP 在科索沃粮食部门经营的公司的财务效率:DEA和DEAHP

IF 1.6

International Journal of Optimization and Control: Theories and Applications Pub Date : 2022-07-12 DOI: 10.11121/ijocta.2022.1227

Esma Canhasi Kasemi

{"title":"Financial efficiency of companies operating in the Kosovo food sector: DEA and DEAHP","authors":"Esma Canhasi Kasemi","doi":"10.11121/ijocta.2022.1227","DOIUrl":"https://doi.org/10.11121/ijocta.2022.1227","url":null,"abstract":"Data Envelopment Analysis (DEA) evaluates a large number of input and output variables using mathematical programming techniques and analyzes the effectiveness of similar decision making units (DMU). Unlike traditional methods, the most important advantage of DEA is that the weights of input and output variables can be defined by the analyzer. In this study, the limitations of the DEA weights were determined using the AHP, which considers expert opinion. In addition, an alternative judgment scale was used for the Saaty judgment scale, which is used as a standard in the AHP method, and thus a more sensitive analysis was performed. There have been studies dealing with the comparison of judgment scales, but few studies on consistency sensitivity are needed. This point has also been addressed in this study. Subsequently, the financial efficiency of 27 companies operating in the food sector in Kosovo was evaluated with the weight-restricted DEA model, first created using the unweighted DEA model and then the AHP model, and the two models were compared. This paper is the first one of its kind since there are no previous studies regarding the examination of the financial efficiency of companies operating in the Kosovo food sector based on the DEAHP method.","PeriodicalId":37369,"journal":{"name":"International Journal of Optimization and Control: Theories and Applications","volume":"30 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2022-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79196168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal matchday schedule for Turkish professional soccer league using nonlinear binary integer programming 用非线性二进制整数规划的土耳其职业足球联赛最优比赛日安排

IF 1.6

International Journal of Optimization and Control: Theories and Applications Pub Date : 2022-07-12 DOI: 10.11121/ijocta.2022.1161

Yasin Göçgün, N. O. Bakır

引用次数: 2

Rotor design optimization of a synchronous generator by considering the damper winding effect to minimize THD using grasshopper optimization algorithm 考虑阻尼器绕组效应以最小化THD的同步发电机转子优化设计

IF 1.6

International Journal of Optimization and Control: Theories and Applications Pub Date : 2022-06-13 DOI: 10.11121/ijocta.2022.1181

A. D. Karaoglan, Deniz Perin

引用次数: 0

Optimizing seasonal grain intakes with non-linear programming: An application in the feed industry 非线性规划优化季节性粮食采食量:在饲料工业中的应用

IF 1.6

International Journal of Optimization and Control: Theories and Applications Pub Date : 2022-06-12 DOI: 10.11121/ijocta.2022.1158

Alperen Ekrem Çelikdin

{"title":"Optimizing seasonal grain intakes with non-linear programming: An application in the feed industry","authors":"Alperen Ekrem Çelikdin","doi":"10.11121/ijocta.2022.1158","DOIUrl":"https://doi.org/10.11121/ijocta.2022.1158","url":null,"abstract":"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.\u0000With 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, model can provide a cost advantage of 0.7%. Model will also provide insight to the managers for additional storage space investments.","PeriodicalId":37369,"journal":{"name":"International Journal of Optimization and Control: Theories and Applications","volume":"83 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2022-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84762224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimization of flexo process parameters to reduce the overall manufacturing cost 柔印工艺参数优化，降低整体制造成本

IF 1.6

International Journal of Optimization and Control: Theories and Applications Pub Date : 2022-01-02 DOI: 10.11121/ijocta.2022.1137

Akshay Joshi

引用次数: 2

An EOQ model for deteriorating items analyzing retailer’s optimal strategy under trade credit and return policy with nonlinear demand and resalable returns 一个劣化物品EOQ模型，分析了在需求非线性和可再销售的情况下零售商在贸易信用和退货策略下的最优策略

IF 1.6

International Journal of Optimization and Control: Theories and Applications Pub Date : 2022-01-02 DOI: 10.11121/ijocta.2022.1025

M. Kumari, P. K. De

引用次数: 2

Multi-objective regression modeling for natural gas prediction with ridge regression and CMARS 脊回归与CMARS天然气预测的多目标回归建模

IF 1.6

International Journal of Optimization and Control: Theories and Applications Pub Date : 2022-01-01 DOI: 10.11121/ijocta.2022.1084

Ayse Ozmen

{"title":"Multi-objective regression modeling for natural gas prediction with ridge regression and CMARS","authors":"Ayse Ozmen","doi":"10.11121/ijocta.2022.1084","DOIUrl":"https://doi.org/10.11121/ijocta.2022.1084","url":null,"abstract":"Residential customers are the main users generally need a great quantity of natural gas in distribution systems, especially, in the wintry weather season since it is particularly consumed for cooking and space heating. Hence, it ought to be non-interruptible. Since distribution systems have a restricted ability for supply, reasonable planning and prediction through the whole year, especially in winter seasons, have emerged as vital. The Ridge Regression (RR) is formulated mainly to decrease collinearity results through shrinking the regression coefficients and reducing the impact in the model of variables. Conic multivariate adaptive regression splines ((C)MARS) model is constructed as an effective choice for MARS by using inverse problems, statistical learning, and multi-objective optimization theories. In this approach, the model complexity is penalized in the structure of RR and it is constructed a relaxation by utilizing continuous optimization, called Conic Quadratic Programming (CQP). In this study, CMARS and RR are applied to obtain forecasts of residential natural gas demand for local distribution companies (LDCs) that require short-term forecasts, and the model performances are compared by using some criteria. Here, our analysis shows that CMARS models outperform RR models. For one-day-ahead forecasts, CMARS yields a MAPE of about 4.8%, while the same value under RR reaches 8.5%. As the forecast horizon increases, it can be seen that the performance of the methods becomes worse, and for a forecast one week ahead, the MAPE values for CMARS and RR are 9.9% and 18.3%, respectively.","PeriodicalId":37369,"journal":{"name":"International Journal of Optimization and Control: Theories and Applications","volume":"30 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79011857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4