Recursive Objective Space Exploration (ROSE): A computationally efficient deterministic approach for bi-objective optimization. by Ihab Hashem, Viviane De Buck, Seppe Seghers, Jan Van Impe

“…Existing deterministic methods for solving Multi-Objective Optimization Problems (MOOPs) include scalarization techniques, which transform the problem into a set of Single-Objective Optimization Problems (SOOPs) where each of them is to be solved independently to obtain a point on the Pareto front. …”
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Optimized Marine Target Detection in Remote Sensing Images with Attention Mechanism and Multi-Scale Feature Fusion by Xiantao Jiang, Tianyi Liu, Tian Song, Qi Cen

“…However, existing detection methods face numerous challenges, such as small target localization, recognition of targets with large aspect ratios, and high computational demands. …”
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Enhancing heart disease prediction with stacked ensemble and MCDM-based ranking: an optimized RST-ML approach by T. Ashika, G. Hannah Grace

“…By utilizing RST for feature selection, the framework minimizes dimensionality while retaining essential information.MethodsThe framework employs RST to select relevant features, followed by the integration of nine ML classifiers into five stacked ensemble models through correlation analysis to enhance predictive accuracy and reduce overfitting. …”
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Enhanced mask R-CNN for luminaire detection through brightness balancing and distribution-guided optimization in tunnels by Xiaoqiong Qin, Bintao Xu, Chenchen Wang, Lirui Liu, Linfu Xie, Rong Liu, Mingwei Hu, Xiangsheng Chen

“…Furthermore, considering the differences in luminaire brightness, their backgrounds, and regular spacing, an object brightness enhancement method based on a fixed threshold and an innovative distribution-guided optimization strategy are introduced to effectively reducing missed detections and false alarms while accurately correcting the detected luminaire positions. …”
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OiSAM-FGO: an efficient factor graph optimization algorithm for GNSS/INS integrated navigation system by Zhichao Yang, Xiangjie Ding, Ying Yang, Qi Wang

“…The experiments on real-world datasets demonstrated that the OiSAM-FGO can reduce the time consumption of the optimization procedure by up to 52.24%, while achieving a performance equivalent to that of the State-of-the-Art (SOTA) FGO method and superior to the Extended Kalman Filter (EKF) method.…”
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Coordinated Reactive Power–Voltage Control in Distribution Networks with High-Penetration Photovoltaic Systems Using Adaptive Feature Mode Decomposition by Yutian Fan, Yiqiang Yang, Fan Wu, Han Qiu, Peng Ye, Wan Xu, Yu Zhong, Lingxiong Zhang, Yang Chen

“…This paper proposes a coordinated reactive power and voltage optimization method based on Filtered Multiband Decomposition (FMD). …”
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Structural optimization of stiffened panel structures with continuous and discrete design variables using deep reinforcement learning by Ryota NONAMI, Mitsuru KITAMURA

“…Optimizing stiffened panel structures used in ships and aircrafts are becoming increasingly important for reducing material costs while maintaining or enhancing structural strength. …”
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Determination of the delivered hemodialysis dose using standard methods and on-line clearance monitoring by Vlatković Vlastimir, Stojimirović Biljana

“…Thus, a great attention is given to the optimization of dialysis treatment. On-line Clearance Monitoring (OCM) allows a precise and continuous measurement of the delivered dialysis dose. …”
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Constrained Control of Fully-Constrained Cable-Driven Parallel Robots With Elastic Cables: An Optimal Robust Approach by Hanie Marufkhani, Mohammad A. Khosravi

“…The robust optimal constrained controller is formulated using the Generalized State-Dependent Riccati Equation (GSDRE), followed by stability analysis conducted through Lyapunov’s second method. …”
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Gray Wolf Optimizer With Communication Strategy Based on DV-Hop for Nodes Location of Wireless Sensor Networks by Dan Yu, Ting Yuan, Haiyin Qing, Wenwu Xie, Peng Zhu

“…Comprehensive experimental analyses on established benchmark functions have validated the efficacy of the IGWO-CS method, illustrating its competitiveness with other advanced algorithms such as the Ranking-based Adaptive Cuckoo Search (RACS) and Modified Particle Swarm Optimization (MPSO). …”
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Optimization and analysis of interior permanent magnet drive motor with unequal thickness magnetic poles for electric vehicle by Shilun MA, Yongyi WU, Changwei LI, Keqi CHEN

“…The proposed novel topology structure and its optimization design method can effectively enhance the output characteristics, providing certain theoretical references for the drive motor used in electric vehicles.…”
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Frequency regulation reserve optimization of wind-PV-storage power station considering online regulation contribution by Changping Sun, Xiaodi Zhang, Wei Zhang, Jiahao Liu, Zubing Zou, Leying Li, Cheng Wang

“…The field data from the JH4# station in China’s MX power grid was considered for validation. The proposed method achieves a 24.77 % increase in the station income while ensuring the system frequency stability when compared with the grid code-based method.…”
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RAMAS-Net: a module-optimized convolutional network model for aortic valve stenosis recognition in echocardiography by Yejia Gan, Wanzhong Huang, Yan Deng, Xiaoying Xie, Yuanyuan Gu, Yaozhuang Zhou, Qian Zhang, Maosheng Zhang, Yangchun Liu

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Two-layer Optimization Scheduling for Off-grid Microgrids Based on Multi-agent Deep Policy Gradient by Huicong FAN, Zhiguo DUAN, Zhiyong CHEN, Shijia ZHU, Hang LIU, Wenxiao LI, Yang YANG

“…To address the voltage limit violations and bidirectional power flow problems arising from high-penetration integration of distributed renewable energy, this paper proposes a two-layer active-reactive power cooperative optimization method to achieve cooperative optimal dispatch of active and reactive power in off-grid microgrids, ensuring the secure and stable operation of the system while enhancing operational economy. …”
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Experimental investigation on addition of furfuryl alcohol to diesel plastic fuel blends and optimization using Kissing Numbers by Geetha Narayanan Kannaiyan, Bridjesh Pappula, Seshibe Makgato

“…The results were normalized and integrated into a Python-based program to estimate the performance index, adapting a novel optimization method using Kissing Numbers that allows the identification of optimal fuel configurations. …”
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Dynamic Topology Optimization of Constrained Damping Plates considering Frequency and Temperature Characteristics Based on an Efficient Strategy by Fan Wu, Pu Xue

“…The findings indicated that a positive compromise between accuracy and efficiency can be achieved, and the computational time can be significantly reduced while ensuring the accuracy of the results. Furthermore, it has been discovered that the excitation frequency and temperature significantly impact the optimal configuration of damping material. …”
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An Enhanced Artificial Lemming Algorithm and Its Application in UAV Path Planning by Xuemei Zhu, Chaochuan Jia, Jiangdong Zhao, Chunyang Xia, Wei Peng, Ji Huang, Ling Li

“…When applied to UAV path planning in large- and medium-scale environments with realistic obstacle constraints, the EALA generates Pareto-optimal paths that minimize length, curvature, and computation time while guaranteeing collision avoidance. …”
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Parameter-Optimized Design of a Longitudinal Viscous Damper for a Long-Span Railway Suspension Bridge by Yu Chen, Ruoyu Han, Ren’an Yuan

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Enhanced Particle Swarm Optimization-Based Feeder Reconfiguration Considering Uncertain Large Photovoltaic Powers and Demands by Ying-Yi Hong, Faa-Jeng Lin, Fu-Yuan Hsu

“…The system loss is minimized while the operational constraints, including reverse power and voltage variation, are satisfied due to the optimal feeder reconfiguration. …”
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Oil Well Characterization and Artificial Gas Lift Optimization Using Neural Networks Combined with Genetic Algorithm by Chukwuka G. Monyei, Aderemi O. Adewumi, Michael O. Obolo

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