A Markov decision optimization of medical service resources for two-class patient queues in emergency departments via particle swarm optimization algorithm by Chia-Hung Wang, Rong Tian, Kun Hu, Yu-Tin Chen, Tien-Hsiung Ku

“…By comprehensively considering the costs associated with patient waiting time, the cost of rejecting the most critical patients, and the total costs of beds and servers, a mixed-integer programming model was constructed with the objective of minimizing the total cost. The particle swarm optimization algorithm was applied to determine the optimal number of servers, service rate, and number of beds. …”
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Recovering 3D Basin Basement Relief Using High-Precision Magnetic Data Through Particle Swarm Optimization and Back Propagation Algorithm by Shen Yan, Xinjun Zhang, Zhongda Shang, Kai Wang, Yixin Ma

“…This paper proposes a new method for the inversion of magnetic basement interfaces using a particle swarm optimization algorithm that combines potential field processing and machine learning techniques. …”
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On the Extended Simple Equations Method (SEsM) for Obtaining Numerous Exact Solutions to Fractional Partial Differential Equations: A Generalized Algorithm and Several Applications by Elena V. Nikolova

Subjects: “…fractional nonlinear partial differential equations…”
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Real defect partial discharge identification method for power cables joints based on integrated PJS-M and GA-SVM algorithm with multi-source fusion by Ling-Xuan Zhang, Yi-Yang Zhou, Shen-Jiong Yao, Jia-Luo Chai, Ying-Jing Chen, Zhou-Sheng Zhang

“…To address this limitation, three real-type partial discharge (PD) models were developed based on common defects encountered in actual manufacturing. …”
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Ultrasonic localization method based on Chan‐WLS algorithm for detecting power transformer partial discharge faults by fibre optic F‐P sensing array by Hong Liu, Tianhe Yang, Zhixian Zhang, Haoyuan Tian, Yuxuan Song, Qiuxia Sun, Wei Wang, Yunjun Geng, Weigen Chen

“…The experimental results show that the error in the partial discharge fault localisation is solved based on the Chan‐WLS algorithm and the actual location is 20.27 cm, which is within the acceptable error.…”
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WiFi Indoor Positioning Based on EGA-PF and Fernet Algorithm by Yanchun Wang, Shaoye Sun, Fengjuan Miao, Ying Xia

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Prediction model for spontaneous combustion temperature of coal based on PSO-XGBoost algorithm by Hui Zhuo, Tongren Li, Wei Lu, Qingsong Zhang, Lingyun Ji, Jinliang Li

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WSN clustering routing algorithm based on PSO optimized fuzzy C-means by Aijing SUN, Shichang LI, Yicai ZHANG

“…Aimed at the problems of limited energy and unbalanced load in wireless sensor network, POFCA based on particle swarm optimization fuzzy C-means was proposed.POFCA was respectively optimized from the cluster stage and the data transmission stage.In the clustering stage, the particle swarm optimization fuzzy C-means was firstly used to overcome the sensitivity to the initial clustering center.And the cluster head was dynamically updated according to the remaining power and the relative distance of the nodes to balance the network load.Then in the data transfer phase, a path evaluation function was designed based on the distance factor, the energy factor and the nodal load.Besides, the cat swarm optimization was used to search the optimal routing path for the cluster head to balance the load of the cluster head without increasing the load of the relay node.The simulation result shows that compared with algorithms of LEACH and LEACH-improved, POFCA can effectively balance the network load, reduce the energy consumption of nodes and extend the lifetime of the entire network.…”
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Optimization of multi effect evaporation systems using a metaheuristic hybrid algorithm by Orhun Uzdiyem, Yavuz Özçelik

“…C# programming language is used in the development of the computer program. A Particle Swarm Optimization (PSO) based algorithm is developed and hybridized with a Levenberg-Marquardt (LM) based algorithm. …”
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Finding Minimum and Maximum Values of Variables in Mathematical Equations by Applying Firefly and PSO Algorithm by Rouwayda Nadhim Salih, Marwa Adeeb Al-jawaherry

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Path Planning Optimization of Smart Vehicle With Fast Converging Distance-Dependent PSO Algorithm by Muhammad Haris, Haewoon Nam

“…Path planning is a crucial technology and challenge in various fields, including robotics, autonomous systems, and intelligent transportation systems. The Particle Swarm Optimization (PSO) algorithm is widely used for optimization problems due to its simplicity and efficiency. …”
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Optimal power allocation in spatial MIMO channel using heuristic algorithms by Javad Zeraatkar Moghaddam, Hamid Farrokhi

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Routing algorithm for railway monitoring linear WSN based on improved PSO by Cuiran LI, Xuejie WANG, Jianli XIE, Anqi LYU

“…To solve the problems of short network lifetime and large data transmission delay, caused by unbalanced node energy consumption of linear wireless sensor network in railway monitoring scenario, a routing algorithm based on particle swarm optimization theory and breadth first search was proposed.The fitness function was constructed based on the relative energy consumption, spacing and load of candidate cluster heads.The local search ability of particle swarm algorithm was enhanced by adjusting the inertia weight coefficient to set up the cluster head optimal set.Meanwhile, a path cost function driven by energy consumption and delay was built up, and the optimal main path from the source node to the sink node was obtained by breadth first search.Lastly, a Q-learning alternative path updating and route maintenance mechanism based on discrete Markov decision process (MDP) was designed.Simulation results show that the proposed algorithm can balance the node energy consumption effectively, and has also advantages in prolonging the network lifetime and reducing the data transmission delay.…”
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Routing algorithm for railway monitoring linear WSN based on improved PSO by Cuiran LI, Xuejie WANG, Jianli XIE, Anqi LYU

“…To solve the problems of short network lifetime and large data transmission delay, caused by unbalanced node energy consumption of linear wireless sensor network in railway monitoring scenario, a routing algorithm based on particle swarm optimization theory and breadth first search was proposed.The fitness function was constructed based on the relative energy consumption, spacing and load of candidate cluster heads.The local search ability of particle swarm algorithm was enhanced by adjusting the inertia weight coefficient to set up the cluster head optimal set.Meanwhile, a path cost function driven by energy consumption and delay was built up, and the optimal main path from the source node to the sink node was obtained by breadth first search.Lastly, a Q-learning alternative path updating and route maintenance mechanism based on discrete Markov decision process (MDP) was designed.Simulation results show that the proposed algorithm can balance the node energy consumption effectively, and has also advantages in prolonging the network lifetime and reducing the data transmission delay.…”
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Performance Comparison of Computationally Efficient Algorithms for Drone Localization on Embedded Systems by Muhammad Bilal Kadri

“…Accuracy and computational complexity are the two most fundamental and critical factors for ensuring efficient performance of a real-time drone localization algorithm. This paper explores the time complexity of two popular state estimation algorithms: The Error State Kalman Filter (ESKF), and Particle Filter (PF). …”
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Dark-YOLO: A Low-Light Object Detection Algorithm Integrating Multiple Attention Mechanisms by Ye Liu, Shixin Li, Liming Zhou, Haichen Liu, Zhiyu Li

“…To address these challenges, this paper proposes a low-light object detection algorithm named Dark-YOLO, which dynamically extracts features. …”
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Virtual Cluster Partitioning Method of Active Distribution Networks Using Quantum Particle Swarm Optimization and Sector Search by Wei Liu, Yifan Tong, Xinran Xing, Xi Chen, Bo Hu, Qian Sun, Yufei Wang, Huaxin Li, Huidong Guo

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Embedded feature fusion for multi-label criteria selection via local search strategy and particle swarm optimization by Suhua Chen, Xu Fang, Feng Zhai, Li Wang, Lin Lv

“…To address this issue and enhance convergence speed, this article introduces a hybrid AI solution that combines a binary particle swarm optimization algorithm with a local search strategy specifically designed for multi-label feature selection. …”
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Salvage radical cystectomy after organ preservation therapy in patients with undifferentiated bladder cancer: its place in the treatment algorithm and survival results by P. H. Yakovlev, D. A. Kliushyn

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The optimal dispatching strategy of cogeneration based on Deep Q-Network (DQN) algorithm by Zhang Pei, Fu Yan, Yao Fu

Subjects: “…dqn algorithm optimization…”
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