{"title":"A Similar-Niching-Based Differential Evolution for Constrained Multimodal Multiobjective Optimization","authors":"Hongyu Lin;Jing Liang;Caitong Yue;Ying Bi;Kangjia Qiao;Yaonan Wang;Ponnuthurai Nagaratnam Suganthan","doi":"10.1109/TSMC.2025.3582852","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3582852","url":null,"abstract":"In constrained multimodal multiobjective optimization problems (CMMOPs), the existence of discrete and confined feasible regions bring great challenges to current multiobjective optimization evolutionary algorithms (MOEAs). To address these challenges, this article proposes a constrained multimodal multiobjective differential evolution algorithm, which incorporates a similar-niching-based reproduction operator and a novel environmental selection mechanism. The proposed algorithm initiates by segregating the population into distinct niches, thereby promoting independent evolution within each niche. This segmentation enhances the exploration of multiple discrete feasible regions, thus improving the capacity to find diverse Pareto optimal solutions. Moreover, the algorithm selects the most similar niche to collaboratively generate solutions, further enhancing its ability to generate effective feasible solutions. To improve the diversity within the population, the proposed environmental selection mechanism gives preference to solutions that enhance the distribution of the next-generation population. By considering the diversity in both two spaces, the population retains more pareto optimal solutions. Based on the Friedman test results of the comparison experiment with other representative algorithms and the champion algorithm of the CEC2023 CMMOPs competition, the proposed algorithm attained the top ranking, thereby reinforcing its demonstrated superiority. Meanwhile, the proposed algorithm is used to solve the constrained multimodal multiobjective location selection problem and results show its superiority.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 10","pages":"6710-6722"},"PeriodicalIF":8.7,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wencheng Han;Hao Li;Maoguo Gong;Yue Wu;A. K. Qin;Lining Xing;Yu Zhou
{"title":"Evolutionary Multiobjective Cross-Spectral Adversarial Attacks With Synergistic Patches","authors":"Wencheng Han;Hao Li;Maoguo Gong;Yue Wu;A. K. Qin;Lining Xing;Yu Zhou","doi":"10.1109/TSMC.2025.3584347","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3584347","url":null,"abstract":"DNN have demonstrated vulnerability to adversarial attacks in object detection tasks. While significant progress has been made in single-spectrum attacks, cross-spectral adversarial attacks remain challenging due to the complex tradeoffs between visible and infrared domains. To address this, an evolutionary multiobjective cross-spectral attack (MoXAttack) framework, for developing adversarial patches in closed-box cross-spectral scenarios is proposed. MoXAttack incorporates a multipopulation constraint-handling technique, which uses both penalty functions and feasibility rules to guide the search process. Spectrum-aware genetic operators are introduced to enhance solution diversity and feasibility. The framework automatically optimizes the smooth to cross-spectral shared patch shape using curvature energy. In addition, MoXAttack utilizes singular value decomposition for visible spectrum texture perturbations and adjustable thermal shielding material thickness for infrared spectrum control. Experiments on the LLVIP dataset demonstrate that MoXAttack achieves competitive performance across multiple object detection models. Ablation studies reveal the positive impact of improved components on attack effectiveness. The multipatch strategy improves attack success rates by at least 17%, while optimized patch shapes outperform conventional geometric shapes by at least 25% in terms of mean average precision drop. In the physical world test, the proposed method shows stability in different viewing angles.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 10","pages":"7395-7409"},"PeriodicalIF":8.7,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145090074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Systems, Man, and Cybernetics Society Information","authors":"","doi":"10.1109/TSMC.2025.3584486","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3584486","url":null,"abstract":"","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 8","pages":"C3-C3"},"PeriodicalIF":8.6,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11085017","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Transactions on Systems, Man, and Cybernetics: Systems Publication Information","authors":"","doi":"10.1109/TSMC.2025.3584492","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3584492","url":null,"abstract":"","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 8","pages":"C2-C2"},"PeriodicalIF":8.6,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11085018","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"TechRxiv: Share Your Preprint Research With the World!","authors":"","doi":"10.1109/TSMC.2025.3584424","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3584424","url":null,"abstract":"","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 8","pages":"5437-5437"},"PeriodicalIF":8.6,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11085022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144662013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"TechRxiv: Share Your Preprint Research With the World!","authors":"","doi":"10.1109/TSMC.2025.3584580","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3584580","url":null,"abstract":"","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 8","pages":"5773-5773"},"PeriodicalIF":8.6,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11085021","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Weitian He;Fukai Zhang;Zhijia Zhao;Chenguang Yang;Cong Wang
{"title":"Reinforcement Dynamic Learning-Based Tracking Control Strategy for an Unknown 2-DOF Helicopter System","authors":"Weitian He;Fukai Zhang;Zhijia Zhao;Chenguang Yang;Cong Wang","doi":"10.1109/TSMC.2025.3582830","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3582830","url":null,"abstract":"This study investigates a multitrajectory tracking control strategy for an unknown 2-DOF helicopter system, integrating deterministic learning (DL) and reinforcement learning (RL). Initially, DL theory is applied to identify the local unknown dynamics of a 2-DOF helicopter system using radial basis function neural networks (RBFNNs). Subsequently, the identified dynamic knowledge is expressed and stored using constant RBFNNs. To mitigate the issue of partial knowledge failure due to deviations between the actual and learned trajectories, we introduce a RL framework for dynamic compensation. Finally, a composite control strategy incorporating both nominal and auxiliary components is designed to achieve multitrajectory tracking control. The stability of the closed-loop system is analyzed and demonstrated using the Lyapunov direct method. The simulation and experimental results demonstrate the effectiveness of the proposed control strategy.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 10","pages":"6777-6788"},"PeriodicalIF":8.7,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Transactions on Systems, Man, and Cybernetics: Systems Publication Information","authors":"","doi":"10.1109/TSMC.2025.3584484","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3584484","url":null,"abstract":"","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 8","pages":"C2-C2"},"PeriodicalIF":8.6,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11085009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Transactions on Systems, Man, and Cybernetics: Systems Information for Authors","authors":"","doi":"10.1109/TSMC.2025.3584488","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3584488","url":null,"abstract":"","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 8","pages":"C4-C4"},"PeriodicalIF":8.6,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11085012","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Switching Fixed-Time Control for Interconnected Nonlinear Systems With Unknown Control Directions and Unmodeled Dynamics","authors":"Wei Tian;Changchun Hua;Kuo Li;Pengju Ning","doi":"10.1109/TSMC.2025.3584772","DOIUrl":"https://doi.org/10.1109/TSMC.2025.3584772","url":null,"abstract":"This article investigates the fixed-time control problem for a class of uncertain p-normal interconnected nonlinear systems with output constraints. Different from the existing fixed-time control results, unmodeled dynamics are allowed in the system model and the unknown control coefficients under consideration are time varying with nonidentical signs. To deal with this challenge, by applying the adding a power integrator method, a decentralized adaptive controller is built with a switching parameter to compensate unknown parameters. Based on fixed-time control framework, a logic-based switching rule is established to tune the switching parameter online, in which the Lyapunov-like boundary functions are utilized to replace the Lyapunov function containing inexact values brought by unmodeled dynamics. Then, with the aid of Lyapunov stability theorem, it is proved that the system output never violates the prespecified constraints and all state variables converge to zero within a fixed time. Finally, the validity of the presented method is demonstrated by a numerical simulation.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 10","pages":"6802-6813"},"PeriodicalIF":8.7,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}