MODELING AND OPTIMIZATION OF VEHICLE SUSPENSION OSCILLATIONS by N. N. Hurski, A. Kader Karami

“…Results on optimization of suspension oscillations by minimum vibro-acceleration  of cushioned mass while a vehicle is moving within the preset speed interval are presented in the paper.…”
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Optimal policy for composite sensing with crowdsourcing by Bei Zhao, Siwen Zheng, Jianhui Zhang

“…The solution includes optimal and myopic policies. Besides, we provide necessary theoretical analysis, which ensures the optimality of the optimal algorithm. …”
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Solving Integer Ambiguity Based on an Improved Ant Lion Algorithm by Wuzheng Guo, Yuanfa Ji, Xiyan Sun, Xizi Jia

“…First, the performance of the SAALO algorithm was evaluated by comparing its solving speed and success rate with those of the Ant Lion Optimization Algorithm (ALO), the LAMBDA algorithm and the MLAMBDA algorithm. …”
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Hardware reconfigurable coding and evolution algorithm based on evolvable hardware by Ting WANG, Ju-long LAN, Jun-ting WU

“…A planar mapping function increments chromosome coding method based on FPGA platform with SRAM-architecture was proposed.The method could improve hardware reconfiguration efficiency by coding mapping realized by double platform mapping of binary configurable file string.Meanwhile,a betterment difference evolution algorithm was proposed based on local optimal mechanism introduced.The algorithm could promote convergence rate and whole efficiency.Finally,the result of the algorithm emulation shows that:MDE improves disadvantage of difference evolution algorithm with local optimal and approaches actual optimization outcome.…”
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Planning trajectory for UAVs using the self-organizing migrating algorithm. by Quoc Bao Diep, Thanh-Cong Truong, Ivan Zelinka

“…To optimize this cost function, we employ the self-organizing migrating algorithm, a swarm intelligence algorithm inspired by the cooperative and competitive behaviors observed in natural organisms. …”
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An Improved Small Target Detection Algorithm Based on YOLOv8s by G. Ma, C. Xu, Z. Xu, X. Song

“…To address these challenges, this pa¬per proposes an enhanced small object detection algorithm, SOD-YOLO, based on YOLOv8s. First, the S_C2f_CAFM module is integrated into the feature extraction network, enabling the effective capture of fine-grained local features and broad contextual information, while simultaneously reducing model parameters and computational complexity. …”
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Three-Dimensional UAV Path Planning Based on Multi-Strategy Integrated Artificial Protozoa Optimizer by Qingbin Sun, Xitai Na, Zhihui Feng, Shiji Hai, Jinshuo Shi

“…First, the tent map and refractive opposition-based learning (ROBL) are employed to enhance the diversity and quality of the initial population. Second, in the algorithm’s autotrophic foraging stage, we design a dynamic optimal leadership mechanism, which accelerates the convergence speed while ensuring robust exploration capability. …”
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MGL-YOLO: A Lightweight Barcode Target Detection Algorithm by Yuanhao Qu, Fengshou Zhang

“…Experimental results show that the proposed algorithm increases MAP50 and MAP50.95 by 2.57% and 2.31%, respectively, compared to YOLOv8, while reducing parameter size and computational cost by 36.21% and 34.15%, respectively. …”
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Development of an Algorithm to Determine the Most Efficient Trajectories in Directional Wells by R.R. Francisco, M. Bertuzzi, G.V.V. Ramlov, L.A. Alves, C.E. Metzler

“…The primary goal is to optimize the trajectory by minimizing the tension and torques applied to the drill column during drilling operations while ensuring the well stability and operational efficiency. …”
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Overcoming Data Scarcity in Calibrating SUMO Scenarios With Evolutionary Algorithms by Jakob Kappenberger, Heiner Stuckenschmidt

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Classification of Internet banking customers using data mining algorithms by Reza Radfar, Navid Nezafati, Saeid Yousefi Asli

“…Classifying customers using data mining algorithms, enables banks to keep old customers loyality while attracting new ones. …”
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Hybrid Adaptive Sheep Flock Optimization and Gradient Descent Optimization for Energy Management in a Grid-Connected Microgrid by Sri Harish Nandigam, Krishna Mohan Reddy Pothireddy, K. Nageswara Rao, Surender Reddy Salkuti

“…The ASFO algorithm offers robust global search capabilities to explore complex search spaces, while GDO safeguards precise local convergence to optimize the dispatch schedule and energy cost and maximize renewable energy utilization. …”
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Stochastic Block-Coordinate Gradient Projection Algorithms for Submodular Maximization by Zhigang Li, Mingchuan Zhang, Junlong Zhu, Ruijuan Zheng, Qikun Zhang, Qingtao Wu

“…We consider a stochastic continuous submodular huge-scale optimization problem, which arises naturally in many applications such as machine learning. …”
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UAV Signal Modulation Recognition Algorithm Based on Joint Features by Yang Zheng, Zhihai Zhuo

“…After quantization, the recognition performance remains nearly unaffected, while computational resource requirements are greatly reduced, making the algorithm highly suitable for deployment in resource-constrained environments.…”
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Trajectory Similarity Algorithm Based on DTW and Trajectory Point Compression by GAO Wei, QIAN Chengyang, ZHANG Qi, XIE Hongquan

“…Understanding the behavior characteristics of these holders through processing massive trajectory data has become an important issue to be addressed using trajectory similarity algorithms. To optimize the computational efficiency of the algorithm while maintaining its accuracy, this paper presents an algorithm based on an improved dynamic time warping (DTW) algorithm, i.e. the compression DTW (CN-DTW) algorithm to overcome the deficiencies of long running time and ill-conditioned alignment in the DTW algorithm. …”
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Specifics of the Algorithmic Prescriptions in the Learning Process of the Gymnastics Exercises’ Techniques by Victor BUFTEA

“… The technology of training gymnastic exercises demonstrates a series of groupings of the most rational and optimal methods; however, the algorithmic type prescriptions are considered the closest to the effective achievement of the theoretical-methodological and practical objectives (in order to acquire the technique of gymnastic exercises with an increased degree of difficulty). …”
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Multi-Feature Facial Complexion Classification Algorithms Based on CNN by Xiyuan Cao, Delong Zhang, Chunyang Jin, Zhidong Zhang, Chenyang Xue

“…The optimal approach combining multi-feature CNN with machine learning algorithms attains a remarkable accuracy of 97.78%. …”
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Application of the Random Forest Algorithm for Accurate Bipolar Disorder Classification by Miguel Suárez, Ana M. Torres, Pilar Blasco-Segura, Jorge Mateo

“…These results highlight the algorithm’s capacity to handle complex, noisy datasets while identifying key features relevant for classification. …”
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Distributed Constraint Optimization with Flocking Behavior by Zhengquan Yang, Qing Zhang, Zengqiang Chen

“…Then, it is proved that all agents track the optimal velocity while avoiding collisions. The proof of the main result is divided into three steps: global set convergence, consensus analysis, and optimal set convergence. …”
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Lightweight insulator target detection algorithm based on improved YOLOX by Bing Zeng, Wei Hua, Dezhi Li, Zhihao Zhou, Hao Wan, Yunmin Xie, Tangbing Li, Yucong Chen, Jianglei Li, Shenli Wang, Shixun Fu, Zihan Jin, Wenhua Zhang

“…Finally, the σWIoU loss function replaces the traditional IoU to accelerate convergence and optimize overall performance. Experiments show that compared to the original YOLOX, the proposed algorithm reduces parameters by 53.41% to 4.164 M and computational load to 12.975G, with mAP increased by 1.3%, detection accuracy reaching 98.81%, and recall achieving 100%. …”
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