International Journal of Optimization and Control: Theories and Applications最新文献_第9页

A New Broyden rank reduction method to solve large systems of nonlinear equations 求解大型非线性方程组的一种新的Broyden秩约简方法

IF 1.6

International Journal of Optimization and Control: Theories and Applications Pub Date : 2019-04-09 DOI: 10.11121/IJOCTA.01.2019.00743

O. Mostafa, A. Souissi, M. Ziani

引用次数: 0

Simulation of glucose regulating mechanism with an agent-based software engineering tool 基于agent的葡萄糖调节机制仿真软件工程工具

IF 1.6

International Journal of Optimization and Control: Theories and Applications Pub Date : 2019-03-20 DOI: 10.11121/IJOCTA.01.2019.00685

Sevcan Emek, Vedat Evren, Şebnem Bora

{"title":"Simulation of glucose regulating mechanism with an agent-based software engineering tool","authors":"Sevcan Emek, Vedat Evren, Şebnem Bora","doi":"10.11121/IJOCTA.01.2019.00685","DOIUrl":"https://doi.org/10.11121/IJOCTA.01.2019.00685","url":null,"abstract":"This study provides a detailed explanation of a regulating mechanism of the blood glucose levels by an agent-based software engineering tool. Repast Simphony which is used in implementation of this study is an agent-based software engineering tool based on the object-oriented programming using Java language. Agent-based modeling and simulation is a computational methodology for simulating and exploring phenomena that includes a large set of active components represented by agents. The agents are main components situated in space and time of agent-based simulation environment. In this study, we present hormonal regulation of blood glucose levels by our improved agent-based control mechanism. Hormonal regulation of blood glucose levels is an important process to maintain homeostasis inside the human body. We offer a negative feedback control mechanism with agent-based modeling approach to regulate the secretion of insulin hormone which is responsible for increasing the blood glucose levels. The negative feedback control mechanism run by three main agents that interact with each other to perform their local actions in the simulation environment. The result of this study shows the local behavior of the agents in the negative feedback loop and illustrates how to balance the blood glucose levels. Finally, this study which is thought a potential implementation of agent-based modeling and simulation may contribute to the exploration of other homeostatic control systems inside the human body.","PeriodicalId":37369,"journal":{"name":"International Journal of Optimization and Control: Theories and Applications","volume":"21 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2019-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88949955","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

Hermite-Hadamard type inequalities for p-convex stochastic processes p凸随机过程的Hermite-Hadamard型不等式

IF 1.6

International Journal of Optimization and Control: Theories and Applications Pub Date : 2019-03-19 DOI: 10.11121/IJOCTA.01.2019.00602

Nurgül Okur, I. Işcan, Emine Yuksek Dizdar

引用次数: 16

Evaluation of wind energy investment with artificial neural networks 基于人工神经网络的风能投资评价

IF 1.6

International Journal of Optimization and Control: Theories and Applications Pub Date : 2019-03-19 DOI: 10.11121/IJOCTA.01.2019.00780

H. Yildirim, M. Yavuz

{"title":"Evaluation of wind energy investment with artificial neural networks","authors":"H. Yildirim, M. Yavuz","doi":"10.11121/IJOCTA.01.2019.00780","DOIUrl":"https://doi.org/10.11121/IJOCTA.01.2019.00780","url":null,"abstract":"Countries aiming for sustainability in economic growth and development ensure the reliability of energy supplies. For countries to provide their energy needs uninterruptedly, it is important for domestic and renewable energy sources to be utilised. For this reason, the supply of reliable and sustainable energy has become an important issue that concerns and occupies mankind. Of the renewable energy sources, wind energy is a clean, reliable and inexhaustible source of energy with low operating costs. Turkey is a rich nation in terms of wind energy potential. Forecasting of investment efficiency is an important issue before and during the investment period in wind energy investment process because of high investment costs. It is aimed to forecast the wind energy products monthly with multilayer neural network approach in this study. For this aim a feed forward back propagation neural network model has been established. As a set of data, wind speed values 48 months (January 2012-December 2015) have been used. The training data set occurs from 36 monthly wind speed values (January 2012-December 2014) and the test data set occurs from other values (January-December 2015). Analysis findings show that the trained Artificial Neural Networks (ANNs) have the ability of accurate prediction for the samples that are not used at training phase. The prediction errors for the wind energy plantation values are ranged between 0.00494-0.015035. Also the overall mean prediction error for this prediction is calculated as 0.004818 (0.48%). In general, we can say that ANNs be able to estimate the aspect of wind energy plant productions.","PeriodicalId":37369,"journal":{"name":"International Journal of Optimization and Control: Theories and Applications","volume":"20 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2019-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88846577","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: 1

Investment evaluation of wind turbine relocation 风电机组搬迁投资评估

IF 1.6

International Journal of Optimization and Control: Theories and Applications Pub Date : 2019-03-19 DOI: 10.11121/IJOCTA.01.2019.00762

H. Yildirim, Sakir Sakarya

{"title":"Investment evaluation of wind turbine relocation","authors":"H. Yildirim, Sakir Sakarya","doi":"10.11121/IJOCTA.01.2019.00762","DOIUrl":"https://doi.org/10.11121/IJOCTA.01.2019.00762","url":null,"abstract":"Energy has become one of the most important building blocks of many changes in the world, and it still maintains this quality. The demand for natural resources and energy continues to increase daily. For this reason, the supply of reliable and sustainable energy has become an important issue that concerns and occupies mankind. Of the renewable energy sources, wind energy is a clean, reliable and inexhaustible source of energy with low operating costs. Turkey is a rich nation in terms of wind energy potential. In this context, the profitability of investments made in utilising domestic and renewable energy potential is important. Investment efficiency is a very important issue before and during the investment period due to the fact that wind energy investments are high cost investments. In this study, a solution will be proposed for the replacement of inefficient wind turbines which have been installed. In the ideal solution of the issue, the remaining lifetime of the wind turbine which is to be replaced and capacity utilization at the new location of the turbine will be used as key input factors. The results showed that it was important for the relocation decision to be made early for the investment to be more profitable. In the event of delayed decisions to relocate the turbine, a high capacity factor is expected in the new location. If a high capacity factor is not achieved, the relocation of the turbine will be meaningless and losses will be incurred for the investor. Also according to the results of the analysis, in the first two years, the turbine operating at a low capacity of 19% and 17% is profitable if it works at 26% capacity until the end of its economic life when change is made in the third year.","PeriodicalId":37369,"journal":{"name":"International Journal of Optimization and Control: Theories and Applications","volume":"55 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2019-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84768582","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: 1

Stability of delay differential equations in the sense of Ulam on unbounded intervals 无界区间上Ulam意义下时滞微分方程的稳定性

IF 1.6

International Journal of Optimization and Control: Theories and Applications Pub Date : 2019-03-13 DOI: 10.11121/IJOCTA.01.2019.00628

Süleyman Öğrekçi

引用次数: 13

Analyzing occupational risks of pharmaceutical industry under uncertainty using a Bow-Tie analysis 不确定条件下医药行业职业风险的领结分析

IF 1.6

International Journal of Optimization and Control: Theories and Applications Pub Date : 2019-02-19 DOI: 10.11121/ijocta.01.2019.00655

Sukran Seker

{"title":"Analyzing occupational risks of pharmaceutical industry under uncertainty using a Bow-Tie analysis","authors":"Sukran Seker","doi":"10.11121/ijocta.01.2019.00655","DOIUrl":"https://doi.org/10.11121/ijocta.01.2019.00655","url":null,"abstract":"Risk analysis is a systematic and widespread methodology to analyze and evaluate risks which are exposed in many working areas. One of the Quantitative Risk Analysis (QRA) methods for risk assessment is Bow-Tie analysis which combines features of fault-tree analysis and event-tree analysis to identify the top event; its causes and consequences (outcomes); and possible preventive and protective control measures or barriers. This study proposes an occupational risk assessment approach, which is known as Fuzzy Bow-Tie analysis, for pharmaceutical industry processes and work units. The aim is to evaluate critical risks and risky pharmaceutical work units and take safety precautions against accidents which caused by risky conditions. Thus, this methodology combines the concept of uncertainty which comes from different (Decision Maker) DM’s evaluations and the whole performance of the Bow-Tie analysis for hazard identification and risk assessment. To apply and validate the proposed method, a case study is performed for pharmaceutical industry processes and work units. Based on the computed risk score, which is calculated by multiplying probability ranking and impact ranking of criterion, the risks are prioritized and some measures are suggested for management to prevent accidents occur in the industry.","PeriodicalId":37369,"journal":{"name":"International Journal of Optimization and Control: Theories and Applications","volume":"250 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76986066","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

Fitting Intravoxel Incoherent Motion Model to Diffusion MR Signals of the Human Breast Tissue using Particle Swarm Optimization 用粒子群算法拟合乳腺组织弥散MR信号的体素内非相干运动模型

IF 1.6

International Journal of Optimization and Control: Theories and Applications Pub Date : 2019-02-15 DOI: 10.11121/IJOCTA.01.2019.00642

G. Ertas

{"title":"Fitting Intravoxel Incoherent Motion Model to Diffusion MR Signals of the Human Breast Tissue using Particle Swarm Optimization","authors":"G. Ertas","doi":"10.11121/IJOCTA.01.2019.00642","DOIUrl":"https://doi.org/10.11121/IJOCTA.01.2019.00642","url":null,"abstract":"Intravoxel incoherent motion (IVIM) modeling offers the parameters f, D and D* as biomarkers for different lesion types and cancer stages from diffusion MR signals. Challenges with the available optimization algorithms in fitting the model to the signals motive new studies for improved parameter estimations. In this study, one thousand value sets of f, D, D* for human breast are assembled and used to generate five thousand diffusion MR signals considering noise-free and noisy situations exhibiting signal-to-noise ratios (SNR) of 20, 40, 60 and 80. The estimates of f, D, D* are obtained using Levenberg-Marquardt (LM), trust-region (TR) and particle swarm (PS) algorithms. On average, the algorithms provide the highest fitting performance for the noise-free signals (R2adj=1.000) and great fitting performances on the noisy signals with SNR>20 (R2adj>0.988). TR algorithm performs slightly better for SNR=20 (R2adj=0.947). TR and PS algorithms achieve the highest parameter estimation performance for all the parameters while LM algorithm reveals the highest performance for f and D only on the noise-free signals (r=1.00). For the noisy signals, performances increase while SNR increases. All algorithms accomplish poor performances for D* (r=0.01-0.20) while TR and PS algorithms perform same for f (r=0.48-0.97) and D (r=0.85-0.99) but remarkably better than LM algorithm for f (r=0.08-0.97) and D (r=0.53-0.99). Overall, TR and PS algorithms demonstrate better but indistinguishable performances. Without requiring any user-given initial value, PS algorithm may facilitate improved estimation of IVIM parameters of the human breast tissue. Further studies are needed to determine its benefit in clinical practice.","PeriodicalId":37369,"journal":{"name":"International Journal of Optimization and Control: Theories and Applications","volume":"16 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2019-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88770480","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: 1

Analytical studies on waves in nonlinear transmission line media 非线性传输线介质中波的解析研究

IF 1.6

International Journal of Optimization and Control: Theories and Applications Pub Date : 2019-02-14 DOI: 10.11121/IJOCTA.01.2019.00597

Zehra Pinar

引用次数: 6

A bi-objective model for sustainable logistics and operations planning of WEEE recovery 一个关于报废电子电气设备回收的可持续物流和运营计划的双目标模型

IF 1.6

International Journal of Optimization and Control: Theories and Applications Pub Date : 2019-02-06 DOI: 10.11121/IJOCTA.01.2019.00718

E. N. Kapukaya, A. Bal, S. I. Satoglu

{"title":"A bi-objective model for sustainable logistics and operations planning of WEEE recovery","authors":"E. N. Kapukaya, A. Bal, S. I. Satoglu","doi":"10.11121/IJOCTA.01.2019.00718","DOIUrl":"https://doi.org/10.11121/IJOCTA.01.2019.00718","url":null,"abstract":"The Triple-bottom-line concept suggests that firms must consider the environmental and social impacts of their decisions, beside the economic aspects. Hence, the sustainability of the firms’ operations can be reached. The purpose of this study is to develop a bi-objective, multi-product and multi-period mixed-integer model for the operations planning of electrical-electronic waste (WEEE) recovery facilities, by considering social (workforce) constraints. Main objective is the minimization of net recycling and logistics costs offset by the profit earned by recovered material sales, and second objective is the maximization of hazardous materials recovery. Collection of used products from the specified regions is decided and the required machine-hours, inventory and workforce decisions are made. Besides, both weight-based and unit-based WEEE recovery targets are separately considered, as a unique aspect. A sensitivity analysis is conducted with various scrap prices to understand operations planning in changing conditions. Results show that weight-based targets enhance recovery amounts.","PeriodicalId":37369,"journal":{"name":"International Journal of Optimization and Control: Theories and Applications","volume":"55 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2019-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86152551","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: 7