Algorithmic governance by Christian Katzenbach, Lena Ulbricht

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Ideologies in Algorithms. How Do Ideologies Give Shape to Algorithms? by Natalia Gondek, Grzegorz Tutak, Jan Gondek

“…The article addresses the growing influence of algorithms on social and cultural life. …”
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Camera Calibration Optimization Algorithm Based on Nutcracker Optimization Algorithm by Lei Li, Zelong Xiao, Taiyang Hu

“…Traditional calibration methods usually achieve approximate solutions due to the complexity of solving nonlinear equations, resulting in reprojection errors. This article proposes a camera calibration optimization algorithm based on the Starling-Inspired Strategy optimization algorithm, which improves calibration accuracy and stability by combining chaotic mapping and sine cosine optimization strategies. …”
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Implementation of Grover’s Algorithm & Bernstein-Vazirani Algorithm with IBM Qiskit by Yang-Che Liu, Mei-Feng Liu

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Universal Synchronization Algorithm for Wireless Sensor Networks—``FUSA algorithm'' by Michal Chovanec, Jana Púchyová, Martin Hudik, Michal Kochláň

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Dynamic neutrosophic cognitive map with improved cuckoo search algorithm (DNCM-ICSA) and ensemble classifier for rheumatoid arthritis (RA) disease by B. Chithra, R. Nedunchezhian

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Guided Particle Swarm Optimization for Feature Selection: Application to Cancer Genome Data by Simone A. Ludwig

“…This paper presents a feature selection method based on Particle Swarm Optimization (PSO). The proposed algorithm makes use of a guided particle scheme whereby three filter-based methods are incorporated. …”
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MSCSO: A Modified Sand Cat Swarm Algorithm for 3D UAV Path Planning in Complex Environments with Multiple Threats by Zhengsheng Zhan, Dangyue Lai, Canjian Huang, Zhixiang Zhang, Yongle Deng, Jian Yang

“…To improve the global search efficiency and dynamic adaptability of the Sand Cat Swarm Optimization (SCSO) algorithm for UAV path planning in complex 3D environments, this study proposes a Modified Sand Cat Swarm Optimization (MSCSO) algorithm by integrating chaotic mapping initialization, Lévy flight–Metropolis hybrid exploration mechanisms, simulated annealing–particle swarm hybrid exploitation strategies, and elite mutation techniques. …”
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Spurious-Free Dynamic Range Augmentation for Digital-to-Analog Converters using PSO-PID Adaptive Algorithms by Junshi Lv, Chengting Zhang, Honglv Wang, Gaoming Xu, Taijun Liu

“…In this paper, we propose a new method for enhancing the spurious-free dynamic range (SFDR) of digital-to-analog converters (DACs) by implementing a digital predistorter to suppress harmonic distortion. First, the particle swarm optimization (PSO) algorithm is used to optimize the proportional-integral-derivative (PID) parameters, after which the PSO-PID algorithm is implemented to identify the best signal featuring the least harmonic distortion. …”
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Convergence-Driven Adaptive Many-Objective Particle Swarm Optimization by Yunfei Yi, ZhiYong Wang, Yunying Shi, Zhengzhuo Song, Binbin Zhao

“…To overcome these challenges, this study proposes a Convergence-Driven Adaptive Many-Objective Particle Swarm Optimization (CDA-MOPSO) algorithm. …”
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The Design of Contactors Based on the Niching Multiobjective Particle Swarm Optimization by Wenying Yang, Jiuwei Guo, Yang Liu, Guofu Zhai

“…To avoid missing the extreme solutions of each objective during the multiobjective optimization process, extra particle swarms used to search the independent optimal solution of each objective are supplemented in this algorithm. …”
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Constrained Fuzzy Predictive Control Using Particle Swarm Optimization by Oussama Ait Sahed, Kamel Kara, Mohamed Laid Hadjili

“…This can be achieved using reduced population size and small number of iterations. In this algorithm, instead of using the uniform distribution as in the conventional PSO algorithm, the initial particles positions are distributed according to the normal distribution law, within the area around the best position. …”
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Offline Magnetometer Calibration Using Enhanced Particle Swarm Optimization by Lei Huang, Zhihui Chen, Jun Guan, Jian Huang, Wenjun Yi

“…To address the decline in measurement accuracy of magnetometers due to process errors and environmental interference, as well as the insufficient robustness of traditional calibration algorithms under strong interference conditions, this paper proposes an ellipsoid fitting algorithm based on Dynamic Adaptive Elite Particle Swarm Optimization (DAEPSO). …”
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A Hybrid Particle Swarm Optimizer for Curriculum Sequencing Problem by Xianjie Peng, Xiaonan Sun, Zhen He

“…As a form of swarm intelligence, particle swarm optimization (PSO) is widely used in various kinds of optimization problems. …”
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Application of the Hough Transform to Dispersion Control of Overlapping Particles and Their Agglomerates by P. V. Gulyaev

“…The dispersion control of micro- and nanoparticles by their images is of great importance for ensuring the specified properties of the particles themselves and materials based on them. The aim of this article was to consider the possibilities of using the Hough transform for dispersion control of overlapping particles and their agglomerates. …”
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N-dimensional maximum-entropy tomography via particle sampling by Austin Hoover

“…The algorithm uses particle sampling and low-dimensional density estimation to approximate large sets of high-dimensional integrals in the original MENT formulation. …”
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Multitarget Tracking of Pedestrians in Video Sequences Based on Particle Filters by Hui Li, Shengwu Xiong, Pengfei Duan, Xiangzhen Kong

“…To surmount these difficulties, this paper presents multitarget tracking of pedestrians in video sequences based on particle filters. In order to improve the efficiency and accuracy of the detection, the algorithm firstly obtains target regions in training frames by combining the methods of background subtraction and Histogram of Oriented Gradient (HOG) and then establishes discriminative appearance model by generating patches and constructing codebooks using superpixel and Local Binary Pattern (LBP) features in those target regions. …”
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THE ALGORITHMIC APPROACH TO IMPROVEMENT OF WORK GENETIC ALGORITHM IN THE HOMOGENEOUS MINIMAX PROBLEM by Valery G. KOBAK, Dmitry V. TITOV, Valery V. KOBAK

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Improving Moth-Flame Optimization Algorithm by using Slime-Mould Algorithm by Sami N. Hussein, Nazar K. Hussein

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Active Noise Reduction Algorithm Based on NOTCH Filter and Genetic Algorithm by Paweł GÓRSKI, Leszek MORZYŃSKI

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