Optimization of Electrical Discharge Machining Process by Metaheuristic Algorithms by Nurezayana Zainal, Mohanavali Sithambranathan, Umar Farooq Khattak, Azlan Mohd Zain, Salama A. Mostafa, Ashanira Mat Deris

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A novel swarm intelligence-based approach for solving optimal power flow problems in modern power systems by Haewon Byeon, Wajdi Alghamdi, Munni Evin, M. Sucharitha, D. David Neels Ponkumar, A. Prakash, J. Sunil

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Trust based secure routing algorithm for wireless sensor networks by WANG Chao, JIA Xiang-yu, LIN Qiang

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Hybrid Feature Selection and Classifying Stages through Electrocardiogram (ECG) Signal for Heart Disease Prediction by Babu Kumar, Radhakrishnan Soundararajan, Kanimozhi Natesan, Roobini Maridhas Santhi

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Short-Term Prediction of Ship Heave Motion Using a PSO-Optimized CNN-LSTM Model by Guowei Li, Gang Tang, Jingyu Zhang, Qun Sun, Xiangjun Liu

“…This paper presents a prediction method of ship heave motion based on the particle swarm optimization (PSO) and convolutional neural network–long short-term memory (CNN-LSTM) hybrid prediction model. …”
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Shipboard power system dynamic reconfiguration optimization strategy considering time-varying load characteristics by Qihuan WU, Zhiyu ZHU, Weihan HAO, Denghao YANG, Cheng XU

“…Next, an improved inertial particle swarm optimization algorithm is used to solve the optimization model. …”
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Learning Improvement Heuristics for Multi-Unmanned Aerial Vehicle Task Allocation by Boyang Fan, Yuming Bo, Xiang Wu

“…In this paper, a NeuroSelect Discrete Particle Swarm Optimization (NSDPSO) algorithm is presented for the Multi-UAV Task Allocation (MUTA) problem. …”
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Civil aircraft longitudinal center-of-gravity position estimation combining domain knowledge and simulation data by Shaobo Zhai, Guangwen Li, Xinyang Du, Mingshan Hou

“…A novel aircraft LCG position estimation algorithm combining extreme learning machine (ELM) and particle swarm optimization (PSO) is developed. …”
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Parameter estimation and speed control of real DC motor with low resolution encoder by Celal Onur Gökçe, Mahmut Esat İpek, Mehmet Dayıoğlu, Rıdvan Ünal

“…For parameter estimation, a popular iterative optimization algorithm, namely Particle Swarm Optimization (PSO), is used. …”
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A Low-Energy Lighting Strategy for High-Yield Strawberry Cultivation Under Controlled Environments by Jun Zou, Zihan Wang, Haitong Huang, Xiaohua Huang, Mingming Shi

“…The lighting system, which combines red (655–665 nm) and full-spectrum white LEDs, was optimized using a particle swarm optimization (PSO) algorithm to enhance spatial light distribution. …”
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Ｒecognition of Instruments’Sounds Based on VMD and PSO by HUANG Ying-lai, ＲEN Tian-li, ZHAO Peng

“…Proposing the method that based on the variational mode decomposition ( VMD) and particle swarm optimization ( PSO) optimized support vector machine ( SVM) are used to recognize the audio signals of the musical instruments aiming at the problem of the low recognition rate of musical instruments audio signals． …”
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Fractional Order PID Control Strategy of SWISS Rectifier by WANG Jitao, LIU Mingliang, XU Senyang, WANG Xizhe, ZHU Qiang

“…To simplify the order parameter design of fractional order PID, the integer order PID parameter pre-tuning method is used to obtain the initial parameter values, and particle swarm optimization algorithm is used to further design and optimize the fractional order PID controller parameters. …”
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Thermal Monitoring of an Internal Combustion Engine for Lightweight Fixed-Wing UAV Integrating PSO-Based Modelling with Condition-Based Extended Kalman Filter by Aleksander Suti, Gianpietro Di Rito, Giuseppe Mattei

“…The parameters of the dynamic model, referred to as nominal condition, are defined through a particle-swarm optimization, minimizing the mean square temperature error between simulated and experimental flight data (obtaining mean and peak errors lower than 3% and 10%, respectively). …”
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Multistation Wind Speed Forecasting Based on Dynamic Spatiotemporal Graph Convolutional Networks by Jianhong Gan, Runqing Kang, Xun Deng, Chentao Mao, Zhibin Li, Peiyang Wei, Chunjiang Wu, Tongli He

“…We simultaneously integrate temporal- and frequency-domain convolutions to capture multiscale temporal-frequency features. Finally, the particle swarm optimization algorithm is used for hyperparameter optimization to improve the prediction accuracy. …”
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Evolutionary Neural Simulation of Import Substitution in the Radio Electronics Industry in the Regions Using Adaptive Network-Based Fuzzy Inference System by Sergei Yashin, Egor Koshelev, Alexey Ivanov, Sergei Borisov, Diyor Karimov, Ivan Babkin

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Design and energy management research of integrated microgrid with light storage and charging with double-layer optimization scheduling model by Pan Zhai

“…On the basis of considering user needs, a time of use electricity pricing scheduling control strategy is proposed to achieve control over energy flow, and an improved particle swarm algorithm is used to handle the objective function. …”
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Advanced intrusion detection technique (AIDT) for secure communication among devices in internet of medical things (IoMT) by M. Ramya, Pradeep Sudhakaran, Yuvaraj Sivagnanam, C. Santhana Krishnan

“…The model uses a probabilistic neural network (PNN) to classify whether intrusions are present or not, and particle swarm optimization (PSO) for feature extraction. …”
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A novel hybrid extreme learning machine-based diagnosis model for sensor node faults in aquaculture by Bing Shi, Zelin Gao, Tianheng Pu, Jianming Jiang, Yueping Sun

“…The inertia weight $$\omega$$ and learning factor c were optimized to enhance the optimization ability of the particle swarm. …”
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TAE Predict: An Ensemble Methodology for Multivariate Time Series Forecasting of Climate Variables in the Context of Climate Change by Juan Frausto Solís, Erick Estrada-Patiño, Mirna Ponce Flores, Juan Paulo Sánchez-Hernández, Guadalupe Castilla-Valdez, Javier González-Barbosa

“…The ensemble combines Long Short-Term Memory neural networks, Random Forest regression, and Support Vector Machines, optimizing their contributions using heuristic algorithms such as Particle Swarm Optimization. …”
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Multi-Objective Cluster Classification and Voltage Control Approach for Active Distribution Network Considering Resource Reserve Degree by Jing WANG, Yi YUAN, Yinchi SHAO, Jinqi ZHANG, Ran DING, Yanjiang GONG

“…Then, the K-means clustering algorithm is used to improve the discrete particle swarm optimization (DPSO) algorithm to convert the cluster classification into an optimization solution problem. …”
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