Results in Control and Optimization最新文献

{"title":"An enhanced TOPSIS-based framework for MCDM with uncertain weights: Application to e-waste recycling partner selection","authors":"Sandhya Priya Baral,&nbsp;Prashanta Kumar Parida,&nbsp;Diptirekha Sahoo","doi":"10.1016/j.rico.2025.100545","DOIUrl":"10.1016/j.rico.2025.100545","url":null,"abstract":"<div><div>This article presents a unique TOPSIS-based framework to address the problem of interval number comparison in multi-criteria decision-making with unclear criterion weights. The method simplifies the sorting process by converting interval number matrices into two separate exact number matrices. Entropy weights are determined using a predetermined factor in order to improve the accuracy of decision-making. The choices are then carefully evaluated using the TOPSIS approach. A real-world application in choosing e-waste recycling partners (e-WRP) shows how successful the suggested process is. Additionally, comparative studies are carried out to confirm the results’ robustness and dependability, emphasizing the method’s usefulness in actual decision-making situations.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"19 ","pages":"Article 100545"},"PeriodicalIF":0.0,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143680538","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}

{"title":"Design and simulation of reduced switch converter based solar PV and energy storage fed shunt active power filter with butterfly optimization","authors":"Koganti Srilakshmi ,&nbsp;Sravanthy Gaddameedhi ,&nbsp;Alapati Ramadevi ,&nbsp;Praveen Kumar Balachandran ,&nbsp;J. Ganesh Prasad Reddy ,&nbsp;Ramprasad Vangalapudi","doi":"10.1016/j.rico.2025.100554","DOIUrl":"10.1016/j.rico.2025.100554","url":null,"abstract":"<div><div>This work optimally designs the shunt active power filter powered by battery storage and a solar PV system in addition to the reduced switch converters connected across DC bus. The gain values of the proportional integral controller for the shunt and energy storage system are considered as control parameters and properly adjusted utilizing a nature-inspired butterfly optimization algorithm. This proposed work seeks to accomplish the following main goals: (1) stabilizing DC bus voltage within a short period of time (<em>sec</em>) during load and sun irradiation variations (2) suppressing harmonics in current waveforms thereby improving power factor. The efficiency of the optimally designed controller is examined with three test studies using MATLAB/Simulink. Subsequently, the obtained outcomes are then compared with the standard fuzzy logic, PIC, sliding mode controllers in addition to genetic algorithm, biogeography-based optimization metaheruristic methods. Upon analyzing the results, it is evident that the suggested approach gives a Total Harmonic Distortion of 2.27 %, 2.24 %, and 4.555 % for the three test cases respectively. However, this THD values are lower when compared to other methods, in addition DC bus voltage is achieved within a short settling time of 0.02 s.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"19 ","pages":"Article 100554"},"PeriodicalIF":0.0,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143705251","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}

{"title":"Parameter estimation and speed control of real DC motor with low resolution encoder","authors":"Celal Onur Gökçe ,&nbsp;Mahmut Esat İpek ,&nbsp;Mehmet Dayıoğlu ,&nbsp;Rıdvan Ünal","doi":"10.1016/j.rico.2025.100549","DOIUrl":"10.1016/j.rico.2025.100549","url":null,"abstract":"<div><div>In this study, parameter estimation and speed control of a real brushed Direct Current (DC) motor are conducted. For parameter estimation, a popular iterative optimization algorithm, namely Particle Swarm Optimization (PSO), is used. The motor is assumed to have first-order dynamics, which are a reasonable assumption for most DC motors in practical use and two parameters representing the mathematical model of the model are estimated. The step response of the open-loop system is used as data for the parameter estimation algorithm. Using the estimated parameters simulations are conducted for closed loop Proportional-Integral (PI) control. Experiments on a real brushed DC motor are also conducted for closed-loop PI control of rotor speed. Speed of motor is measured using single channel low resolution optical encoder. Due to low resolution of speed sensor, precision of the whole system is limited and oscillations are observed in speed output measured. Controlling low-resolution sensor systems is important for two reasons. First, cost of the system is quite low compared with high resolution sensors. Second, for some real systems, especially with small physical dimensions, high resolution sensors may not be available at all. So, one of the important aspects of this study is to analyze low resolution sensor systems. As a closed loop controller, simple but popular PI controller is chosen to show the compatibility of experimental results with simulations. Oscillations around reference value are less than 10% in both simulations and experiment results. In real experiments, oscillations are slightly higher due to low resolution of encoder which is expected due to quantization error. Several parameters are used for controller and results are reported and discussed in corresponding sections.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"19 ","pages":"Article 100549"},"PeriodicalIF":0.0,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143680537","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}

{"title":"A fuzzy multi-agent model of project portfolio scheduling and selection taking into account environmental resilience","authors":"Hadis Gholami ,&nbsp;Amir Azizi ,&nbsp;Majid Sabzehparvar ,&nbsp;Davood Jafari","doi":"10.1016/j.rico.2025.100544","DOIUrl":"10.1016/j.rico.2025.100544","url":null,"abstract":"<div><div>In the context of increasing complexity and uncertainty in project management, this research introduces a Fuzzy Multi-Agent Model for Project Portfolio Scheduling and Selection that emphasizes environmental resilience. The model leverages fuzzy logic to address the inherent vagueness in project evaluation criteria, allowing for a more nuanced assessment of potential projects. By employing a multi-agent system, the framework facilitates decentralized decision-making, enabling diverse stakeholders to collaborate effectively in the selection and scheduling processes. The study highlights the importance of integrating environmental considerations into project portfolio management, recognizing that sustainable practices are essential for long-term organizational success. The model was analyzed using a multi-objective genetic algorithm, and the results suggested that the model could be solved in various dimensions and that with the increase in dimensions, the values ​​of the objective functions increased as well. The model was then analyzed, and the results of the sensitivity analysis indicated that the parameter of pollution level had the greatest effect on environmental issues and resilience, followed by static waste production, then active waste production, and finally saleable waste. The findings will serve as a guide for practitioners and researchers alike, paving the way for more adaptive and sustainable project portfolio management strategies in the face of uncertainty and change.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"19 ","pages":"Article 100544"},"PeriodicalIF":0.0,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143695923","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}

{"title":"Decision-making framework with q-rung picture fuzzy linguistic information and its applications to logistics hubs during disaster response establishment","authors":"Gia Sirbiladze ,&nbsp;Harish Garg ,&nbsp;Bidzina Midodashvili ,&nbsp;Irakly Parshutkin ,&nbsp;Bezhan Ghvaberidze","doi":"10.1016/j.rico.2025.100541","DOIUrl":"10.1016/j.rico.2025.100541","url":null,"abstract":"<div><div>In the decision-making matrix of modern interactive multi-attribute group decision-making (MAGDM) models, we find such syntactic-semantic forms of presentation of experts' cognitive information that thoroughly ensure the expert's maximum intellectual activity in the decision-making process. Both quantitative and qualitative experts’ activities are considered in q-rung picture fuzzy linguistic sets (q-RPFLSs) environment. The operations based on dual Archimedean t-norms and s-norms on q-rung picture fuzzy linguistic numbers (q-RPFLNs) are defined, which ensure the closure of operation results in q-RPFLNs. The extensions of the Choquet integral averaging (CA) and geometric (CG) operators for q-RPFLNs-arguments are constructed. In order to increase consideration of interaction between attributes in MAGDM models, Archimedean q-RPFLSs associated probability averaging and geometric operators are introduced, which in the q-RPFLNs environment, in a certain sense, represent the extensions of the CA and CG operators. The new operators are averaging type aggregation operators. In order to better illustrate the obtained results, a practical, high-value interactive MAGDM problem - temporary logistics hubs location selection problem is considered. The different results of the extended Choquet aggregations compared to the classical Choquet integral aggregations are explained, which are mainly due to the high degree of attributes interaction in decision-making procedure. The obtained results are also compared to the ranked aggregations of well-known decision-making methods such as TOPSIS, VIKOR and TODIM.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"19 ","pages":"Article 100541"},"PeriodicalIF":0.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143680536","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}

{"title":"Enhanced Gaining-Sharing Knowledge-based algorithm","authors":"Mohammed Adnan Jawad ,&nbsp;Heba Sayed Mohamed Roshdy ,&nbsp;Ali Wagdy Mohamed","doi":"10.1016/j.rico.2025.100542","DOIUrl":"10.1016/j.rico.2025.100542","url":null,"abstract":"<div><div>This article suggests an Enhanced Gaining-Sharing Knowledge-based algorithm (eGSK) to resolve unrestricted optimization minimization problems over a continuous space. This algorithm is based on the idea that people learn and share knowledge throughout their lives. The modification is fundamentally inspired by the principles of Adjust Selection Criteria, Modify Parameters Setup, and Escaping from Local Minimum Solutions, respectively. We conducted comparisons and statistical tests with the Gaining-Sharing Knowledge-based algorithm (GSK) and other algorithms to verify and analyze the performance of the eGSK algorithm. We also performed numerical experiments on 29 test problem sets in 10, 30, 50, and 100 dimensions from the Congress on Evolutionary Computation (CEC) 2017 benchmark. The results were compared with three GSK variant algorithms, seven state-of-the-art algorithms, and GSK alongside components of the eGSK algorithm. According to test results, the eGSK algorithm performs exceptionally well at solving optimization problems with 30, 50, and 100 dimensions and is competitive in 10 dimensions. This means the proposed eGSK algorithm outperforms its competitors and achieves more competitive results, especially with high dimensions.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"19 ","pages":"Article 100542"},"PeriodicalIF":0.0,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644162","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}

{"title":"Self-adaptive multi-population quadratic approximation guided jaya optimization applied to economic load dispatch problems with or without valve-point effects","authors":"Sukriti Patty ,&nbsp;Rajeev Das ,&nbsp;Dharmadas Mandal ,&nbsp;Provas Kumar Roy","doi":"10.1016/j.rico.2025.100543","DOIUrl":"10.1016/j.rico.2025.100543","url":null,"abstract":"<div><div>Economic Load Dispatch (ELD) is a key component of power system operation and planning, aimed at allocating power generation to minimize costs while satisfying operational constraints. The Non-linear generator characteristics, such as valve point effects, make ELD challenging for traditional methods. This study applies the Self-Adaptive Multi-Population Quadratic Approximation Guided Jaya (SMP-JaQA) algorithm, a state-of-the-art parameter-free optimization technique, to solve the ELD problem effectively. SMP-JaQA, was originally proposed to address constrained optimization problems, adapts the positions of search agents based on the best solutions identified in each generation to converge efficiently to the optimal solution. To evaluate its performance, The algorithm is tested on six systems with 10, 38, 40, 110, 140, and 160 generating units. Key findings include: 1) SMP-JaQA achieved the lowest generation cost of 111,490 $/hr for the 10-unit system, reducing costs by up to $2030 compared to other methods; 2) For the 38-unit system, SMP-JaQA provided a $5–$8/hr cost reduction, achieving 9,417,230.62$/hr, the lowest operational cost; 3) A significant difference of 2952.93$/hr is observed between SMP-JaQA and GA-API for the 40-unit system; 4) SMP-JaQA reduces costs by $59.44/hr for the 110-unit system; 5) For the 140-unit system, cost reductions of $1234.66/hr, $1040.89/hr, and $836.24/hr are achieved compared to SDE, GWO, and HHO, respectively; 6) A maximum reduction of $104.31/hr is noted for 160 unit system.</div><div>Experimental results highlight SMP-JaQA's efficiency, robustness, and adaptability in solving complex, large-scale ELD problems while maintaining low computational costs. This demonstrates its potential for broader applications in power system optimization.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"19 ","pages":"Article 100543"},"PeriodicalIF":0.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143680535","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}

{"title":"Data envelopment analysis with imprecise data: Fuzzy and interval modeling approaches","authors":"Hassan Mishmast Nehi ,&nbsp;Faranak Hosseinzadeh Saljooghi ,&nbsp;Amir Rahimi ,&nbsp;Laxmi Rathour ,&nbsp;Lakshmi Narayan Mishra ,&nbsp;Vishnu Narayan Mishra","doi":"10.1016/j.rico.2025.100531","DOIUrl":"10.1016/j.rico.2025.100531","url":null,"abstract":"<div><div>Data Envelopment Analysis with inaccurate data poses a significant challenge in data science and analytics due to the inherent uncertainties and discrepancies present in real-world data. This article investigates the performance of units evaluated with inaccurate data and presents modeling approaches, including fuzzy and interval methodologies. In other words, by examining the effectiveness of units evaluated with interval data with fuzzy or interval-based bounds, novel approaches for modeling data coverage issues are introduced. Various mathematical techniques and analytical processes are utilized to solve problems and prove theorems. The primary focus is on modeling data coverage issues with fuzzy or interval bounds, which facilitates the creation of more accurate and effective representations of uncertain data. The findings of this article indicate that these modeling approaches lead to improvements in data-driven decision-making. Practical applications of these methods include information management and decision-making for DMU sets in fuzzy and interval environments, enabling analysts to make better decisions. This research contributes to advancing the field of data analytics by providing systematic methods for managing and analyzing inaccurate data, thereby enhancing the reliability and applicability of insights based on data foundations.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"19 ","pages":"Article 100531"},"PeriodicalIF":0.0,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143610985","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}

{"title":"Frequency regulation of two-area thermal and photovoltaic power system via flood algorithm","authors":"Serdar Ekinci ,&nbsp;Davut Izci ,&nbsp;Cebrail Turkeri ,&nbsp;Aseel Smerat ,&nbsp;Absalom E. Ezugwu ,&nbsp;Laith Abualigah","doi":"10.1016/j.rico.2025.100539","DOIUrl":"10.1016/j.rico.2025.100539","url":null,"abstract":"<div><div>Frequency regulation is critical for maintaining balance between supply and demand in interconnected power systems, ensuring grid stability and preventing disruptions. This becomes increasingly important with the integration of renewable energy sources, such as photovoltaic (PV) units, which introduce variability and complexity into power systems. In this regards, this study presents a novel approach to frequency regulation in a two-area interconnected power system comprising thermal and PV units. A Proportional-Integral (PI) controller is designed, and its parameters are optimally tuned using the flood algorithm (FLA). The innovative use of the FLA ensures robust performance and efficient frequency stabilization under varying operational conditions. The implementation details of the FLA-tuned PI controller are provided, and its performance is rigorously compared with PI controllers tuned using several state-of-the-art optimization techniques. These include sea horse optimization, salp swarm algorithm, whale optimization algorithm, shuffled frog-leaping algorithm, and firefly algorithm. The comparative analysis is based on numerical results of performance metrics, demonstrating the robustness and effectiveness of each tuning method. Performance indices, including maximum overshoot, settling time and steady-state error are used to evaluate the robustness of the designed PI controllers. The frequency variations for the two-area thermal and PV power system are analyzed post-optimization, highlighting the superiority of the FLA-based PI controller in maintaining system stability under various operational conditions. The proposed FLA-based PI controller achieved a reduction in maximum overshoot by 28.3 %, a decrease in settling time by 23.4 %, and an improvement in steady-state error by 15.7 % compared to the next best-performing optimization method. These results demonstrate the significant advantages of the FLA in optimizing frequency regulation.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"18 ","pages":"Article 100539"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143549389","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}

{"title":"A note on “Study on multi-objective linear fractional programming problem involving pentagonal intuitionistic fuzzy number”","authors":"Hassan Hassanpour ,&nbsp;Javad Tayyebi","doi":"10.1016/j.rico.2025.100540","DOIUrl":"10.1016/j.rico.2025.100540","url":null,"abstract":"<div><div>This note presents a critical assessment of the paper authored by Sahoo et al. (2022) titled “<em>Study on multi-objective linear fractional programming problem involving pentagonal intuitionistic fuzzy number</em>” published in Results in Control and Optimization, volume 6, 100091. The note highlights a notable shortcoming in the equivalence between two optimization problems, which leads to two incorrect results, containing two theorems and the proposed method for solving intuitionistic fuzzy multi-objective linear fractional optimization problems.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"18 ","pages":"Article 100540"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143526936","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}