Results in Control and Optimization最新文献_第9页

Optimum control model of Malicious news spread on Social networks having Hidden accounts 有隐藏账户的社交网络上恶意新闻传播的优化控制模型

Results in Control and Optimization Pub Date : 2024-09-20 DOI: 10.1016/j.rico.2024.100468

Ankur Jain , Joydip Dhar

引用次数: 0

Trapezoidal neutrosophic teaching learning-based optimization in enhancing accuracy of diabetes prognosis 基于梯形中性教学学习的优化技术在提高糖尿病预后准确性中的应用

Results in Control and Optimization Pub Date : 2024-09-19 DOI: 10.1016/j.rico.2024.100464

Nivedita , Seema Agrawal , Tarun Kumar , Kapil Kumar , M.K. Sharma , Vishnu Narayan Mishra

{"title":"Trapezoidal neutrosophic teaching learning-based optimization in enhancing accuracy of diabetes prognosis","authors":"Nivedita , Seema Agrawal , Tarun Kumar , Kapil Kumar , M.K. Sharma , Vishnu Narayan Mishra","doi":"10.1016/j.rico.2024.100464","DOIUrl":"10.1016/j.rico.2024.100464","url":null,"abstract":"<div><div>Diabetes is one of chronic diseases in which blood glucose (sugar) level soar up high where human body are incapable to absorb it properly. It is important to have an appropriate diagnosis for proper management and treatment. The aim of this manuscript is to provide a more accurate diabetes prediction model through the new adaptive Trapezoidal Neutrosophic Teaching Learning-Based Optimization (TLBO) method. In order to address the inherent uncertainties and imprecisions in medical data, the suggested model makes use of the resilience of Trapezoidal Neutrosophic sets. The Trapezoidal Neutrosophic set theory provides a suitable basis for developing rule/knowledge-based systems in the medical field. The present investigation makes use of the dataset acquired from the Pima Indians Diabetes Database (PIDD) website, which has an extensive global collection of diabetes datasets. The performance of our model is evaluated against several existing methodologies, including Intuitionistic Neuro-Fuzzy System (INFS) Structure, Fuzzy Logic based Diabetes Diagnosis System (FLDDS), Fuzzy Verdict Mechanism (FVM) for Diabetes Decision, (Fuzzy Expert System) FES, and Hierarchical Neuro-Fuzzy Binary space partitioning System (HNFB-1). Quantitative analysis validates that proposed methodology achieves an exceptional predictive accuracy of 99.89 %, which is substantially higher than the comparative methodologies, namely INFS Structure (88.76 %), FLDDS (87.2 %), FVM for Diabetes Decision (85.03 %), FES (81.7 %), and HNFB-1 (78.26 %). These enhancements demonstrate show how well the suggested model works to lower diagnostic errors and increase dependability.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"17 ","pages":"Article 100464"},"PeriodicalIF":0.0,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142327991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Necessary or sufficient condition for Alexandroff topological spaces to be cordial graphic 亚历山大拓扑空间是亲切图形的必要或充分条件

Results in Control and Optimization Pub Date : 2024-09-16 DOI: 10.1016/j.rico.2024.100467

A. Divya , K. Ramya , D. Sasikala

引用次数: 0

Strategic approaches to mitigating Hookworm infection: An optimal control and cost-effectiveness analysis 减少钩虫感染的战略方法：最佳控制和成本效益分析

Results in Control and Optimization Pub Date : 2024-09-13 DOI: 10.1016/j.rico.2024.100477

Z. Chazuka , C.W. Chukwu , D. Mathebula , E. Mudimu

{"title":"Strategic approaches to mitigating Hookworm infection: An optimal control and cost-effectiveness analysis","authors":"Z. Chazuka , C.W. Chukwu , D. Mathebula , E. Mudimu","doi":"10.1016/j.rico.2024.100477","DOIUrl":"10.1016/j.rico.2024.100477","url":null,"abstract":"<div><div>Human hookworm infection remains a serious threat to public health, particularly in highly endemic regions. The high mortality rate associated with this infection emphasizes the urgent need for effective control measures and intervention strategies to curb its spread. A nonlinear deterministic hookworm model with saturated incidence is investigated in this paper. The model exhibits a unique disease-free and endemic equilibria, and the reproduction number is computed and explained. Sensitivity analysis shows that increasing the transmission rate, <span><math><mrow><mi>β</mi><mo>,</mo></mrow></math></span> the hatching rate, <span><math><mi>α</mi></math></span>, the number of eggs excreted within the environment, <span><math><mrow><msub><mrow><mi>N</mi></mrow><mrow><mi>e</mi></mrow></msub><mo>,</mo></mrow></math></span> and the rate of excretion of the eggs, <span><math><mrow><mi>γ</mi><mo>,</mo></mrow></math></span> significantly increases the reproduction number. Based on this analysis, we extend the model to consider optimal control in the presence of three time-dependent controls namely: sanitation, preventative chemotherapy, and shoe-wearing. We define an objective function to be minimized and the conditions necessary for the optimal control are established and proved using Pontryagin’s maximum principle. We present a one-way analysis of variance to evaluate the impact of constant implementation of the control measures on the number of infected individuals. Numerical simulations also show that hookworm infection can be contained in the presence of all control measures. However, a cost-effectiveness analysis shows that combining shoe-wearing control with preventative chemotherapy is the most cost-effective measure for controlling hookworm infection. The results presented hold substantial implications for public health policy, especially in low-income regions.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"17 ","pages":"Article 100477"},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142319386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predictive analytics in customer behavior: Anticipating trends and preferences 客户行为预测分析：预测趋势和偏好

Results in Control and Optimization Pub Date : 2024-09-13 DOI: 10.1016/j.rico.2024.100462

Hamed GhorbanTanhaei, Payam Boozary, Sogand Sheykhan, Maryam Rabiee, Farzam Rahmani, Iman Hosseini

{"title":"Predictive analytics in customer behavior: Anticipating trends and preferences","authors":"Hamed GhorbanTanhaei, Payam Boozary, Sogand Sheykhan, Maryam Rabiee, Farzam Rahmani, Iman Hosseini","doi":"10.1016/j.rico.2024.100462","DOIUrl":"10.1016/j.rico.2024.100462","url":null,"abstract":"<div><p>In order to effectively manage their customers, businesses need to thoroughly analyze the costs and advantages associated with various alternative expenditures and investments and determine the most effective way to allocate resources to marketing and sales activities over time. Those in charge of making decisions will reap the benefits of decision support models that estimate the value of the customer portfolio and tie expenses to customers' purchasing behavior. In the current work, various machine learning algorithms such as Decision Tree (DT), Random Forest (RT), Logistic Regression (LR), Support Vector Machines (SVM), and gradient boosting are used to predict customer behavior. The evaluation criteria considered in the work include precision, recall, F1-Score, and ROC-AUC. The accuracy values obtained for DT, RT, LR, SVM, and gradient boosting are 0.787, 0.806, 0.826, 0.826, and 0.823, respectively. The results emphasize RT and LR's good performance, while the values of 0.620, 1, 0.766, and 0.878 for the precision, recall, F1-score, and ROC-AUC score outperform the rest. The novelty of this work lies in employing a comprehensive set of machine learning algorithms to predict customer behavior, with a particular emphasis on the superior performance of RF and LR models, as demonstrated by their high precision, recall, F1-score, and ROC-AUC values.</p></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"17 ","pages":"Article 100462"},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666720724000924/pdfft?md5=b23f40ed16806706eca508f6e023a657&pid=1-s2.0-S2666720724000924-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142241189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impact of awareness and time-delayed saturated treatment on the transmission of infectious diseases 提高认识和延时饱和治疗对传染病传播的影响

Results in Control and Optimization Pub Date : 2024-09-11 DOI: 10.1016/j.rico.2024.100463

Aditya Pandey, Archana Singh Bhadauria, Vijai Shanker Verma

{"title":"Impact of awareness and time-delayed saturated treatment on the transmission of infectious diseases","authors":"Aditya Pandey, Archana Singh Bhadauria, Vijai Shanker Verma","doi":"10.1016/j.rico.2024.100463","DOIUrl":"10.1016/j.rico.2024.100463","url":null,"abstract":"<div><div>We have proposed a mathematical model with saturated incidence and treatment rates along with awareness and delay in treatment. We analyze the model and find the equilibrium points and their stability. We also find the basic reproduction number <span><math><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub></math></span> to understand the disease dynamics. We performed the sensitivity analysis and found that treatment along with awareness plays a significant role in controlling infectious disease. We deduce that awareness about the disease affects the transmission rate of infection. As people become aware of aspects of the infectious disease, they amend their behavior so that they fend themselves from catching the disease. We have introduced a time lag in treatment and found the threshold value of the time delay. It is observed that when the value of the time delay crosses the threshold value, we get a Hopf bifurcation i.e. endemic steady state becomes unstable above the threshold value and it may become difficult to control the disease beyond the threshold value of delay in treatment.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"17 ","pages":"Article 100463"},"PeriodicalIF":0.0,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142422173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal control of Volterra integral equations of third kind using Krall–Laguerre Polynomials 利用克拉尔-拉盖尔多项式实现 Volterra 第三类积分方程的优化控制

Results in Control and Optimization Pub Date : 2024-09-11 DOI: 10.1016/j.rico.2024.100473

Elham Hashemizadeh , Asiyeh Ebrahimzadeh

引用次数: 0

A nonlinear fractional fishery resource system model with Crowley–Martin functional response under Mittag-Leffler kernel Mittag-Leffler 核下具有 Crowley-Martin 功能响应的非线性分数渔业资源系统模型

Results in Control and Optimization Pub Date : 2024-09-01 DOI: 10.1016/j.rico.2024.100461

Munkaila Dasumani , Stephen E. Moore , Duncan K. Gathungu , Boubacar Diallo

{"title":"A nonlinear fractional fishery resource system model with Crowley–Martin functional response under Mittag-Leffler kernel","authors":"Munkaila Dasumani , Stephen E. Moore , Duncan K. Gathungu , Boubacar Diallo","doi":"10.1016/j.rico.2024.100461","DOIUrl":"10.1016/j.rico.2024.100461","url":null,"abstract":"<div><p>This article studies the action of predators and the predator-dependent functional response in the fishery resource model. We employ the Atangana–Baleanu–Caputo fractional derivative to study the proposed fractional fishery resource model in the presence of predators with Crowley–Martin functional response. We present a theoretical and numerical analysis of the governing nonlinear differential equations of the model consisting of the biomass density of the fish population inside the unrestricted fishing zone, the biomass density of the fish population inside the reserve or restricted fishing zone, and the predator population. Using the fixed point theory and nonlinear analysis, we establish the existence and uniqueness results of the proposed <span><math><mi>ABC</mi></math></span> fractional fishery resource model. We establish stability analysis of the fishery model using the Ulam–Hyers stability approach. The numerical scheme of the fractional Adams–Bashforth method is provided and the approximate solutions for the model under consideration are given and discussed. We observe that an increase in the fish capturing rates increases the size of the predator population and reduces the fish subpopulations. To maintain a high number of fish species, we recommend a control measure to reduce the fish capturing rate by the predators.</p></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"16 ","pages":"Article 100461"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666720724000912/pdfft?md5=a4b4abaeb7406f918f0c7f2ff0724d8c&pid=1-s2.0-S2666720724000912-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142151840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mathematical model and analysis for within-host dynamics of the malaria parasite infection with optimal control strategies 疟原虫感染宿主内动态数学模型和分析与优化控制策略

Results in Control and Optimization Pub Date : 2024-09-01 DOI: 10.1016/j.rico.2024.100470

Jemal Muhammed Ahmed , Getachew Teshome Tilahun , Shambel Tedesse Degefa

{"title":"Mathematical model and analysis for within-host dynamics of the malaria parasite infection with optimal control strategies","authors":"Jemal Muhammed Ahmed , Getachew Teshome Tilahun , Shambel Tedesse Degefa","doi":"10.1016/j.rico.2024.100470","DOIUrl":"10.1016/j.rico.2024.100470","url":null,"abstract":"<div><p>This study develops and analyzes the within-host dynamics of malaria parasite infection with optimal control strategies. We considered both the blood and liver stages of the malaria infection, taking into account the immunological response against the infection. The basic reproduction number, which indicates the potential spread of the parasite is evaluated. The parasite-free equilibrium point is locally and globally asymptotically stable when the basic reproduction is less than a unit. Sensitivity analysis reveals that the invention rate of red blood cells and the average number of merozoites per rupture infected red blood cell are the most influential parameters of the model. Furthermore, to investigate the most effective measurement of malaria parasite infection, we performed the optimal control strategies. The pre-erythrocytic vaccine, blood-stage vaccine, primary tissue schizontocides, blood schizontocides, and gametocytocidal drugs are incorporated as control measures. The controls are implemented to minimize the infected hepatocytes, infected red blood cells, gametocytes, and merozoites in the human host, as well as the associated costs. Pontryagin’s Minimum Principle is applied to establish optimal control strategies against infected red blood cells, infected hepatocytes, and malaria parasites. Several simulation situations are conducted to assess the analytical results and determine the effective control intervention measures. The results indicate that administering all four controls simultaneously would eradicate the prevalence of malaria infection in the human host.</p></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"16 ","pages":"Article 100470"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666720724001000/pdfft?md5=9f1f61d0db1f7ea6ef92e269d862125a&pid=1-s2.0-S2666720724001000-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142241685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-agent Dual Level Reinforcement Learning of Strategy and Tactics in Competitive Games 竞技游戏中战略和战术的多代理双层强化学习

Results in Control and Optimization Pub Date : 2024-09-01 DOI: 10.1016/j.rico.2024.100471

Chengping Yuan , Md Abdullah Al Forhad , Ranak Bansal , Anna Sidorova , Mark V. Albert

{"title":"Multi-agent Dual Level Reinforcement Learning of Strategy and Tactics in Competitive Games","authors":"Chengping Yuan , Md Abdullah Al Forhad , Ranak Bansal , Anna Sidorova , Mark V. Albert","doi":"10.1016/j.rico.2024.100471","DOIUrl":"10.1016/j.rico.2024.100471","url":null,"abstract":"<div><p>Reinforcement learning has been used extensively to learn the low-level tactical choices during gameplay; however, less effort is invested in the strategic decisions governing the effective engagement of a diverse set of opponents. In this paper, a two-tier reinforcement learning model is created to play competitive games and effectively engage in matches with different opponents to maximize earnings. The multi-agent environment has four types of learners, which vary in their ability to learn gameplay directly (tactics) and their ability to learn to bet or withdraw from gameplay (strategy). The players are tested in three different competitive games: Connect 4, Dots and Boxes, and Tic-Tac-Toe. Analyzing the behavior of players as they progress from naivety to game mastery reveals some interesting features: (1) learners who optimize strategy and tactics outperform all learners, (2) learners who initially optimize their strategy to engage in matches outperform those who focus on optimizing tactical gameplay, and (3) the advantage of strategy optimization versus tactical gameplay optimization diminishes as more games are played. A reinforcement learning model with a dual learning scheme presents possible applications in adversarial scenarios where both strategic and tactical learning are critical. We present detailed results in a systematic manner, providing strong support for our claim.</p></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"16 ","pages":"Article 100471"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666720724001012/pdfft?md5=d89231a731f9cb6cfdcb9dcc91471705&pid=1-s2.0-S2666720724001012-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142241686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0