Inversion algorithm of black carbon mixing state based on machine learning by Z. Tian, Z. Tian, J. Wang, J. Wang, J. Wang, J. Wang, C. Liu, C. Liu, J. Xing, J. Wang, J. Wang, Z. Zhang, Z. Zhang, Y. Jin, Y. Jin, S. Shen, S. Shen, B. Wang, B. Wang, W. Nie, W. Nie, X. Huang, X. Huang, A. Ding, A. Ding

“…This study employs the Light Gradient-Boosting Machine (LightGBM), an advanced tree-based ensemble learning algorithm, to establish an inversion model that directly correlates SP2 signals with the mixing state of BC-containing particles. …”
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Applying the Cheetah Algorithm to optimize resource allocation in the fog computing environment by Fatemeh Arvaneh, Faraneh Zarafshan, Abbas Karimi

“…Preliminary results indicate that the statistical average performance of the Cheetah algorithm surpasses that of the Gray Wolf algorithm, the combined Particle Swarm-Gravitational Search algorithm, and the Gray Wolf-Cuckoo Search algorithm. …”
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Detecting Floating-Point Expression Errors Based Improved PSO Algorithm by Hongru Yang, Jinchen Xu, Jiangwei Hao, Zuoyan Zhang, Bei Zhou

“…This paper proposes characteristic particle swarm optimization (CPSO) algorithm based on particle swarm optimization (PSO) algorithm. …”
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Load Estimation Algorithm Based on Extended Kalman Filter for Freight Train by DENG Hao

“…Researchers usually build complex train multi-particle motion models and design control algorithms, seeking to establish accurate control in the control system of freight trains. …”
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Overlapping Box Suppression and Merging Algorithms for Window-Based Object Detection by Kos Aleksandra

“…To address this, the proposed OBS algorithm uses the detection window coordinates to effectively filter out redundant partial detections, improving detection quality. …”
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Application of Metaheuristic Algorithms and ANN Model for Univariate Water Level Forecasting by Sarah J. Mohammed, Salah L. Zubaidi, Nadhir Al-Ansari, Hussein Mohammed Ridha, Anmar Dulaimi, Ruqayah Al-Khafaji

“…The methodology includes preprocessing data methods, and the ANN model optimises with a marine predator algorithm (MPA). In the optimisation procedure, to decrease uncertainty and expand the predicting range, the slime mould algorithm (SMA-ANN), constriction coefficient-based particle swarm optimisation and chaotic gravitational search algorithms (CPSOCGSA-ANN), and particle swarm optimisation (PSO-ANN) are applied to compare and validate the MPA-ANN model performance. …”
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Improved DV-Hop Node Localization Algorithm in Wireless Sensor Networks by Xiao Chen, Benliang Zhang

“…Finally, we use the particle swarm optimization to correct the position estimated by the 2D hyperbolic localization algorithm, which makes the result closer to the actual position. …”
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A colonic polyps detection algorithm based on an improved YOLOv5s by Jianjun Li, Jinhui Zhao, Yifan Wang, Jinhui Zhu, Yanhong Wei, Junjiang Zhu, Xiaolu Li, Shubin Yan, Qichun Zhang

“…With the rapid development of artificial intelligence technology, the early diagnosis rate of colonic polyps achieves greater clinical efficacy for colon cancer by applying target detection algorithms to colonoscopy images. This paper presents two outcomes achieved through the application of the improved YOLOv5s algorithm with annotated microscopy images of clinical cases and publicly available polyp image data: (1) enhancement of the C3(Cross Stage Partial Networks) module with multiple layers to C3SE(Cross Stage Partial Networks with Squeeze-and-Excitation) via the attention mechanism SE (squeeze-and-excitation) and (2) fusion of higher-level features utilizing BiFPN (the weighted bi-directional feature pyramid network). …”
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Evolutionary Algorithms Applied to Antennas and Propagation: A Review of State of the Art by Sotirios K. Goudos, Christos Kalialakis, Raj Mittra

“…In this paper, our primary focus is on Genetic Algorithms (GAs), Particle Swarm Optimization (PSO), and Differential Evolution (DE), though we also briefly review other recently introduced nature-inspired algorithms. …”
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Adaptive Differential Evolution Algorithm for Forward Position Solution of Parallel Mechanism by Yi Jian

“…Furthermore,the ADE algorithm is compared with basic DE,the adaptive mutation particle swarm optimization,and improved artificial bee colony algorithms,and it is verified that the former outperforms the compared algorithms in term of convergence precision and calculated robustness.…”
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Path Optimization of Welding Robot Based on Ant Colony and Genetic Algorithm by Yan Gao, Yiwan Zhang

“…Simulation experiments show that the optimization strategy of ACO can increase the iterative calculation efficiency and path optimization performance of the algorithm. At the same time, the robot with optimized genetic algorithm has smaller fluctuations in joint angle and angular velocity in the simulated welding task, and the optimization algorithm takes 17.6 s less than the traditional particle swarm algorithm and 11 s less than the single A∗ algorithm. …”
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Optimization Design of Hub Reducer Based on Improved Sparrow Search Algorithm by LI Jian-wei, YU Guang-bin

“…The algorithm introduces the particle symbiosis mechanism and Levy flight mechanism， uses the current individual to balance the individual， and is guided only by the historical optimal individual and the global optimal individual. …”
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PSO–SOM Neural Network Algorithm for Series Arc Fault Detection by Na Qu, Jiatong Chen, Jiankai Zuo, Jinhai Liu

“…However, the classification accuracy of SOM neural network may decrease when the features of tested object are not obvious. In this paper, the particle swarm optimization (PSO) algorithm is used to optimize the weight values of SOM network. …”
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Optimal Layout of Sensors on Wind Turbine Blade Based on Combinational Algorithm by Guimei Gu, Yu Zhao, Xin Zhang

“…In order to avoid information redundancy caused by partial concentration of test spots, Euclidean distance was introduced as the iteration condition of algorithm. …”
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Proposal of a novel particle swarm optimization for constrained optimization problems (1st report: Basic study with benchmark problems) by So FUKUHARA, Nobuhisa KATSUMATA, Masao ARAKAWA

“…To overcome the difficulties, this paper presents a novel particle swarm optimization algorithm named independent 2-group particle swarm optimization (I2GPSO). …”
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Research on Quality Prediction for Thermal Printing Using a Particle Swarm Optimization with Back Propagation (PSO-BP) Neural Network by Chun-Ling Ho, Zhiyun Wu, Tung-Chiung Chang, Shenjun Qi

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A RSSI-Based Distributed Weighted Search Localization Algorithm for WSNs by Yingbiao Yao, Qi Han, Xiaorong Xu, Nanlan Jiang

“…Compared with three state-of-art localization algorithms—namely, maximum likelihood estimation (MLE), edge-based second-order cone programming + nonconvex sequential greedy (ESOCP + NCSG), and particle swarm optimization (PSO)—the simulation results show that localization performance of the WSLA is superior to that of MLE, ESOCP + NCSG, and PSO.…”
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Consistent Algorithms Marching Along Characteristics for the Numerical Solution of the Boltzmann Equation by Nilson C. Roberty, Rogerio C. Nunes

“…We introduce algorithms marching over a polygonal mesh with elements consistent with the propagation directions of the particle (radiation) flux. …”
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Sensitivity Analysis of a CPAM Inverse Algorithm for Composite Laminates Characterization by Farshid Masoumi, Ahmad Ghasemi Ghalebahman

“…An inverse method based on particle swarm optimization algorithm is further provided using MATLAB software. …”
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An Implicit Flux-Corrected Transport Algorithm Used for Gas Discharge Calculations by Richard Morrow

“…An implicit flux-corrected transport (FCT) and diffusion algorithm was developed and used in many gas discharge calculations. …”
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