A novel hybrid genetic algorithm and Nelder-Mead approach and it’s application for parameter estimation [version 3; peer review: 2 approved, 1 approved with reservations] by Neha Majhi, Rajashree Mishra

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Cluster Partitioning Method for High-PV-Penetration Distribution Network Based on mGA-PSO Algorithm by Zhu Liu, Guowei Guo, Dehuang Gong, Lingfeng Xuan, Feiwu He, Xinglin Wan, Dongguo Zhou

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Application of an improved ant colony optimization algorithm of hybrid strategies using scheduling for patient management in hospitals by Md. Limonur Rahman Lingkon, Md. Sazol Ahmmed

“…To balance the convergence speed and solution diversity and enhance optimization performance when addressing large-scale optimization problems, this research study presents an improved ant colony optimization (ICMPACO) technique. …”
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Data-driven continuous-time Hammerstein modeling with missing data using improved Archimedes optimization algorithm by Muhammad Shafiqul Islam, Mohd Ashraf Ahmad

“…This research introduces the improved Archimedes optimization algorithm (IAOA) for data-driven modeling of continuous-time Hammerstein models with missing data. …”
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A multiobjective evolutionary algorithm incorporating neighborhood detection for the vehicle routing problem with soft time windows by Hao Jiang, Zhiwei Zhang, Chao Wang, Xiaoshu Xiang

“…However, existing research mainly focuses on improving solution quality within large and diverse neighborhoods, often resulting in increased computational complexity and the risk of getting trapped in local optima. …”
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A multi-scale small object detection algorithm SMA-YOLO for UAV remote sensing images by Shilong Zhou, Haijin Zhou, Lei Qian

“…Abstract Detecting small objects in complex remote sensing environments presents significant challenges, including insufficient extraction of local spatial information, rigid feature fusion, and limited global feature representation. …”
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Multi-Timescale Nested Hydropower Station Optimization Scheduling Based on the Migrating Particle Whale Optimization Algorithm by Mi Zhang, Guosheng Zhou, Bei Liu, Dajun Huang, Hao Yu, Li Mo

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Quantum behaved Intelligent Variant of Gravitational Search Algorithm with Deep Neural Networks for Human Activity Recognition by Sonika Jindal, Monika Sachdeva, Alok K. S. Kushwaha

“…The recognition of activities from videos and image sequences with higher exactitude is the major challenge. This research work presents an automated system to recognize individual and group activities with major focus is the proposal of a novel quantum behaved intelligent variant of gravitational search algorithm to optimize the features for activity recognition. …”
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Equitable post-disaster relief distribution: a robust multi-objective multi-stage optimization approach by Sogand Soghrati Ghasbeh, Nadia Pourmohammadzia, Masoud Rabbani

“…Design/methodology/approach – A hybrid algorithm of adaptive large neighborhood search (ALNS) and multi-dimensional local search (MDLS) is introduced to solve the problem. …”
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Research on Lightweight Method of Insulator Target Detection Based on Improved SSD by Bing Zeng, Yu Zhou, Dilin He, Zhihao Zhou, Shitao Hao, Kexin Yi, Zhilong Li, Wenhua Zhang, Yunmin Xie

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Research and Analysis of Out-of-Tolerance Problem in Mold Processing Based on Intelligence by Juxian Wang

“…For the out-of-tolerance problem in mold processing, the cold stamping die for motorcycle fuel tank shell is taken as the research object to solve the problem of out-of-tolerance, that is, easy to occur in the process of mold forming. …”
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Inversion of electric field component Ex in the SOTEM method based on the improved particle swarm optimization algorithm by Jifeng ZHANG, Changjian CHEN, Yuteng LI, Xiran YOU, Ziben MA

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An efficient and high-performance WSNs restoration algorithm for fault nodes based on FT in data aggregation scheduling by Cheng Li, Guoyin Zhang

“…And our goal is to improve the universality, efficiency, and performance retention of the algorithm. Previously, we have conducted a range of the relevant researches on performance improvement of WSNs aggregation scheduling by adopting FT structure, and some successful results have been obtained. …”
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High-Accuracy Robot Indoor Localization Scheme Based on Robot Operating System Using Visible Light Positioning by Weipeng Guan, Shihuan Chen, Shangsheng Wen, Zequn Tan, Hongzhan Song, Wenyuan Hou

“…On the basis of our previous researches, we innovatively designed a VLP localization package which contains the basic operation control of the robots, the features extraction and recognition of the LED-ID, cm-level positioning, and robust dynamic tracking algorithms. …”
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An Efficient Large-Scale 3D Map Stitching Algorithm Using Automatic Overlapping Area Identification by Hsien-I Lin, Muhammad Ahsan Fatwaddin Shodiq, An-Kai Jeng, Chun-Wei Chang

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Enhanced deep learning model for apple detection, localization, and counting in complex orchards for robotic arm-based harvesting by Tantan Jin, Xiongzhe Han, Pingan Wang, Zhao Zhang, Jie Guo, Fan Ding

“…In outdoor field experiments conducted under cloudy, low-light, and artificial lighting conditions, the model achieved localization errors of 2.43 mm (X-axis), 3.70 mm (Y-axis), and 1.28 mm (Z-axis), representing reductions of 19.27 %, 12.67 %, and 23.05 %, respectively. …”
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A Novel Skeletonization Algorithm for Topologically Complex Structures: Comparative Analysis and Application to Renal Arterial Trees by Katarzyna Heryan, Stefan-Daniel Caliman

“…Accurate skeletonization of complex vascular structures is essential for clinical applications and anatomical research. This paper presents a domain-adapted skeletonization algorithm specifically developed for the intrarenal arterial tree, with a focus on high-resolution <inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>-CT scans of human renal corrosion cast specimens. …”
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Structural Damage Identification Using PID-Based Search Algorithm: A Control-Theory Inspired Application by Kuang Shi, Tingting Sun

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A Monte Carlo Tree Search approach to QAOA: finding a needle in the haystack by Andoni Agirre, Evert van Nieuwenburg, Matteo M Wauters

“…The search for quantum algorithms to tackle classical combinatorial optimization problems has long been one of the most attractive yet challenging research topics in quantum computing. …”
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SwinVNETR: Swin V-net Transformer with non-local block for volumetric MRI Brain Tumor Segmentation by Maria Nancy A, K. Sathyarajasekaran

“…Brain Tumor Segmentation (BTS) and classification are important and growing research fields. Magnetic resonance imaging (MRI) is commonly used in the diagnosis of brain tumours owing to its low radiation exposure and high image quality. …”
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