Results in Control and Optimization最新文献

{"title":"Decision-maker’s behavioral preferences modeling in fuzzy goal programming through linear-nonlinear membership functions","authors":"Mohamed Sadok Cherif","doi":"10.1016/j.rico.2025.100576","DOIUrl":"10.1016/j.rico.2025.100576","url":null,"abstract":"<div><div>A relevant extension of traditional goal programming (GP), fuzzy goal programming (FGP) can handle uncertainty and imprecision in multi-objective optimization problems. Based on fuzzy set theory, the notion of membership functions has been introduced to consider the fuzziness related to objectives and constraints. These membership functions are mainly intended for fuzziness in the GP rather than modeling the decision-maker’s (DM’s) preferences and his/her attitude toward risk in the decision-making process. In the satisfying philosophy of FGP, little attention has been given to how preferences evolve in terms of the behavior of the decision-maker (DM) and how these preferences may affect decisions in risky scenarios. To address this issue, we suggest novel behavioral-type utility functions for the FGP approach by introducing the concept of behavioral membership functions. This concept offers an innovative procedure for simulating the DM’s behavioral preferences in the FGP approach. First, two main categories of objectives in relation to the DM’s behavioral preferences are distinguished in this work. A risk aversion parameter is integrated into membership functions according to the nature of each objective type, obtaining the so-called behavioral membership functions. A behavioral FGP approach is subsequently formulated. Finally, an illustrative example of venture capital investments, a sensitivity analysis, and comparisons with other FGP approaches are provided to demonstrate the validity and practicality of our proposed approach.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"19 ","pages":"Article 100576"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144205142","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}

{"title":"Optimal control problem for COVID-19 with multiple time-delays in state and control","authors":"Mohcine El Baroudi ,&nbsp;Hassan Laarabi ,&nbsp;Samira Zouhri ,&nbsp;Mostafa Rachik ,&nbsp;Abdelhadi Abta","doi":"10.1016/j.rico.2025.100579","DOIUrl":"10.1016/j.rico.2025.100579","url":null,"abstract":"<div><div>The primary motivation of this paper is to identify the most effective implementation of delayed preventive measures, including active screening and testing, mask-wearing, and vaccination for COVID-19, in a way that minimizes the number of infected and exposed individuals, and maximizes the count of recovered individuals. Our goal is to comprehend the impact of delays on the epidemic’s spread and to offer guidance to health authorities on what steps to take if they implement COVID-19 preventive measures too late. We achieve this by employing optimal control theory on a SEIR model that illustrates the dynamics between susceptible, infected, exposed, and recovered individuals within the population. We set up our optimal control problem with multiple time delays in both the state and control variables, then, we used Pontryagin’s Maximum Principle to determine the solution to the delayed optimal control problem with multiple state-control constraints. Our results of simulation show that to control epidemic propagation when preventive measures are delayed, we should take immediate action after delay phase by enforcing mask wear and starting vaccinations to cover a significant portion of the population as quickly as possible. We should then implement active screening and testing measures to further control the spread.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"19 ","pages":"Article 100579"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144184741","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}

{"title":"H∞ filtering of uncertain predictive models: Gain computation using LMI and performance evaluation","authors":"Eli G. Pale Ramon,&nbsp;Oscar G. Ibarra-Manzano,&nbsp;José A. Andrade-Lucio,&nbsp;Yuriy S. Shmaliy","doi":"10.1016/j.rico.2025.100581","DOIUrl":"10.1016/j.rico.2025.100581","url":null,"abstract":"<div><div>Increasing the process informativity and the efficiency of control is achieved using state estimators, which need to be robust under harsh conditions. In this paper, we look at the robust state estimation problem of uncertain models using the transfer function approach through the bias correction gain <span><math><mi>K</mi></math></span> of a recursive <span><math><msub><mrow><mi>H</mi></mrow><mrow><mi>∞</mi></mrow></msub></math></span> filter. The filter is designed for processes represented in discrete time using the forward Euler method, which allows for predictive modeling. Since the error covariance of a state estimator is a quadratic function of <span><math><mi>K</mi></math></span>, a new theorem is proved and a numerical algorithm is developed for computing <span><math><mi>K</mi></math></span> using linear matrix inequality (LMI). An LMI-based algorithm for iterative <span><math><mi>K</mi></math></span> computation is also given. Numerical investigations are provided using two random models with uncertainties. Using the “Box” benchmark of visual object tracking, an experimental comparison of the <span><math><msub><mrow><mi>H</mi></mrow><mrow><mi>∞</mi></mrow></msub></math></span>, Kalman, and robust unbiased finite impulse response (UFIR) filters is provided in terms of root mean square error, robustness factor, and estimation quality factor. It is shown that <span><math><mi>K</mi></math></span> of the <span><math><msub><mrow><mi>H</mi></mrow><mrow><mi>∞</mi></mrow></msub></math></span> filter is in the range between the Kalman gain and the UFIR filter gain.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"19 ","pages":"Article 100581"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144263175","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}

{"title":"Optimal control strategies for mitigating drug addiction: A mathematical modeling approach","authors":"Mostofa Kamal,&nbsp;Mostak Ahmed,&nbsp;Md. Abu Hanif Sarkar","doi":"10.1016/j.rico.2025.100580","DOIUrl":"10.1016/j.rico.2025.100580","url":null,"abstract":"<div><div>Drug addiction is widely recognized as a complex social issue influenced by various socio-economic and environmental factors. This study addresses the dynamics of drug addiction through a mathematical modeling approach, integrating epidemiological insights with optimal control strategies. Our model employs two control strategies, prevention and punishment, to reduce drug addiction using the Pontryagin Maximum Principle for optimal control. The model emphasizes the roles of “preventive measures” and “punishment strategies” controls in mitigating drug addiction within a community context. Numerical simulations conducted using MATLAB explore the potential impact of these controls on the transmission dynamics of drug addiction, offering insights into how they could reduce the addicted population and promote recovery. The findings highlight the importance of integrated interventions that combine social, psychological, and medical approaches to combat drug addiction effectively.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"19 ","pages":"Article 100580"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144230058","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}

{"title":"The role of amensalism and parasitism on the dynamics of three species ecological system","authors":"Alyaa Raad Saleh Abd Alhadi,&nbsp;Raid Kamel Naji","doi":"10.1016/j.rico.2025.100571","DOIUrl":"10.1016/j.rico.2025.100571","url":null,"abstract":"<div><div>This paper introduces a novel mathematical model of a three-species ecosystem that includes biological relationships such as amensalism and parasitism. Unlike most previous studies, it assumed that the ecosystem consists of three different kinds of interactions at the same time: two host–parasite interactions, while the third one is amensal–enemy interactions. To do the dynamic analysis of this system, all of the solution’s attributes were examined, and potential equilibrium points were found. The local stability was established using the linearization technique. The global stability was examined using Lyapunov functions. Every prerequisite for perseverance was identified. The effects of varying the parameters were investigated using the bifurcation theory. A computer simulation was applied to bolster our analytical research. It is observed that the proposed model has a globally stable coexistence point, while the periodic dynamics do not exist. The impact of amensalism and parasitism is clearly shown due to the transition of the solution from the coexistence point to the planar equilibrium points once their rates exceed a vital value, and conversely, it is proved that the system <span><span>(3)</span></span> undergoes a transcritical bifurcation near the first axial and the enemy–host-free equilibrium points.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"19 ","pages":"Article 100571"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134244","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}

{"title":"Addressing ORPD problem in a standard IEEE power network accompanied with RESs and FACTs appliances by COMMKE under volatile load scenarios","authors":"Susanta Dutta ,&nbsp;Tushnik Sarkar ,&nbsp;Chandan Paul ,&nbsp;Sabbir Reza Tarafdar ,&nbsp;Provas Kumar Roy ,&nbsp;Ghanshyam G. Tejani ,&nbsp;Seyed Jalaleddin Mousavirad","doi":"10.1016/j.rico.2025.100572","DOIUrl":"10.1016/j.rico.2025.100572","url":null,"abstract":"<div><div>This research examines the optimal reactive power dispatch (ORPD) problem across IEEE 30 &amp; 118 bus experimental networks. In particular, we incorporate renewable energy sources (RESs) like solar photovoltaic (PV) and wind power (WP) into the conventional network after first balancing it. Both singular and multiple objective functions (OFs) are considered here. These are, both alone and together, a drop in aggregated voltage deviation (AVD) over buses and a reduction in active power loss (APL). Twenty one cases in all have been looked at using three test frameworks. TSC-TCR (FACTs devices) with test setup are being used for cases 4–6, 9–12 &amp; 16–21. The objectives have been achieved by the use of the COMMKE algorithm, a multi-trial vector-based monkey king evolution (MMKE) method integrated with oppositional based learning (OBL) and chaotic based learning (CBL). Comparative analysis has also been done on the performance of the other optimization methods that were showcased in the latest ORPD research. Both constant and dynamic load demand scenarios are covered in the study. Appropriate probability density functions (PDF) are used to forecast the uncertain WP, PV source, and load demand. Uncertain situations with fluctuating load demand, wind speed (WS), and sun irradiation (SI) are simulated using Monte Carlo simulations (MCS). The investigations’ findings demonstrate that, in a variety of cases, the COMMKE outperforms optimization techniques found in the recent ORPD literature. The improvement of power network efficiency in ORPD difficulties by the application of TSC-TCR is another noteworthy conclusion. To scrutinize the performance of COMMKE, the identical experiments have been conducted using MMKE &amp; driving training based optimization (DTB) and the results coming from COMMKE, MMKE &amp; DTBO are compared. To make this comparison more lucid, statistical records are produced, box plots are presented, error bar plots are used and moreover one way ANOVA test has been performed over the results generated through the different optimization approaches.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"19 ","pages":"Article 100572"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144170621","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}

{"title":"Quantifying control measures for lumpy skin disease in cattle using a vector–host transmission model","authors":"Din Prathumwan ,&nbsp;Nattakarn Numpanviwat ,&nbsp;Kamonchat Trachoo ,&nbsp;Pearanat Chuchard ,&nbsp;Inthira Chaiya","doi":"10.1016/j.rico.2025.100573","DOIUrl":"10.1016/j.rico.2025.100573","url":null,"abstract":"<div><h3>Purpose:</h3><div>This study aims to develop a mathematical model to understand and control the spread of lumpy skin disease in cattle populations, incorporating blood-sucking insects as vectors.</div></div><div><h3>Research Question:</h3><div>How can the interaction between cattle and vectors be effectively modeled to assess the impact of control strategies such as quarantine and treatment on the transmission of lumpy skin disease?</div></div><div><h3>Methodology:</h3><div>The population dynamics are modeled using the SLIQR-SL framework, categorizing cattle into six disease states and vectors into two states. Stability analysis is performed to identify equilibrium points, and the basic reproduction number (<span><math><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub></math></span>) is calculated to evaluate disease persistence or eradication conditions. Numerical simulations are conducted to assess various control strategies.</div></div><div><h3>Validation:</h3><div>The model’s predictions are validated through numerical examples, demonstrating its ability to replicate observed transmission patterns and evaluate control measures.</div></div><div><h3>Results:</h3><div>The analysis reveals that when <span><math><mrow><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub><mo>&lt;</mo><mn>1</mn></mrow></math></span>, lumpy skin disease can be eradicated, but when <span><math><mrow><msub><mrow><mi>R</mi></mrow><mrow><mn>0</mn></mrow></msub><mo>&gt;</mo><mn>1</mn></mrow></math></span>, the disease persists. Numerical simulations highlight the critical role of quarantine and treatment in significantly reducing disease prevalence.</div></div><div><h3>Significance:</h3><div>The findings provide actionable insights for policymakers and veterinarians, emphasizing the importance of integrated control strategies in mitigating lumpy skin disease outbreaks and minimizing economic losses.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"19 ","pages":"Article 100573"},"PeriodicalIF":0.0,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144107780","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}

{"title":"A new model of the impact of chronic hepatitis C and its treatment on the development of tuberculosis: An optimal control and sensitivity analysis","authors":"Chaimae El Mourabit,&nbsp;Nadia Idrissi Fatmi","doi":"10.1016/j.rico.2025.100574","DOIUrl":"10.1016/j.rico.2025.100574","url":null,"abstract":"<div><div>This study offers a mathematical model with eight compartments that explain how tuberculosis spreads among individuals afflicted with HCV. The novelty of this work comes through mathematical modeling of the dynamics of tuberculosis in HCV cases on the one hand and in patients receiving DAA treatment on the other. We analyze the formulated model by proving a solution’s existence and showing the system solution’s positivity and boundedness. Furthermore, the model is reconstructed as an optimal control issue, considering three controls (consciousness, treatment, and early detection) to decrease the prevalence of tuberculosis in HCV-infected people, utilizing Pontryagin’s maximum principle. Finally, numerical simulations are performed using MATLAB, and the outcomes validate that treatment combined with early detection and consciousness reduces the spread of tuberculosis among individuals affected with HCV compared to scenarios without control, leading to improved overall outcomes.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"19 ","pages":"Article 100574"},"PeriodicalIF":0.0,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089306","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}

{"title":"Opinion mining in e-commerce: Evaluating machine learning approaches for sentiment analysis","authors":"L. Lakshmi ,&nbsp;Ali B.M. Ali ,&nbsp;K Dhana Sree Devi ,&nbsp;Muhammad Rafiq ,&nbsp;Iskandar Shernazarov ,&nbsp;Nashwan Adnan Othman ,&nbsp;M. Ijaz Khan","doi":"10.1016/j.rico.2025.100575","DOIUrl":"10.1016/j.rico.2025.100575","url":null,"abstract":"<div><div>In recent years, opinion mining has played a major role in analyzing text data from various sources such as Amazon, Capterra, Facebook, Google, GetApp, and Twitter. It enables companies to actively refine their business strategies. Sentiment analysis involves interpreting and classifying customer emotions (positive, neutral, and negative) expressed in reviews using sentiment analysis techniques such as BING and AFINN. This paper presents four approaches for customer review analysis and classification: the grade-based approach, content-based approach, content-based NRC-Emotion Lexicon approach, and collaborative approach. We employ three machine learning algorithms—stacking, random forest, and LogitBoost—to evaluate the performance of these approaches. A real-time dataset from Amazon product reviews is used for training and testing the model. Empirical results reveal that the collaborative approach outperforms the grade-based, content-based, and content-based NRC-Emotion Lexicon approaches across all three machine learning algorithms. Additionally, all approaches demonstrate outstanding performance when using the boosting algorithm for customer review classification.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"19 ","pages":"Article 100575"},"PeriodicalIF":0.0,"publicationDate":"2025-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144107871","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}

{"title":"Localization of partial discharge in the high voltage apparatus","authors":"Amir Ghaedi ,&nbsp;Mehrdad Mahmoudian ,&nbsp;Eduardo M.G. Rodrigues ,&nbsp;Rui Melicio","doi":"10.1016/j.rico.2025.100562","DOIUrl":"10.1016/j.rico.2025.100562","url":null,"abstract":"<div><div>Partial discharges (PD) in high-voltage (HV) devices can be used as indicators of insulation deterioration, often preceding catastrophic failures in power systems. This paper presents a novel approach for locating and identifying PD sources in HV equipment, targeting insulation condition monitoring in power transformers, XLPE cables, and generators. The new technique utilizes the correlation between PD signal energy characteristics to estimate the source location. The effectiveness of the proposed method is validated through selected case studies involving XLPE cables, transformers, and generators. The results demonstrate that the technique can accurately locate PD sources, potentially enhancing the reliability and longevity of HV power equipment. Key contributions of this work include: a comprehensive review of PD detection sensors, with a focus on electrical methods for high-frequency pulse measurement; experimental characterization of PD signals in XLPE cables and transformers, providing insights into their frequency properties; development of a correlation-based algorithm for PD localization, utilizing a database of simulated PD signals; and validation of the proposed method through EMTP-RV simulations and MATLAB signal processing, showing high accuracy in PD source localization. However, the proposed technique has limitations that prevents its generalized which are highlighted in the paper.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"19 ","pages":"Article 100562"},"PeriodicalIF":0.0,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929180","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}