A novel ensemble support vector machine model for land cover classification by Ying Liu, Lihua Huang

“…The key characteristics of this approach are that (1) a novel noise filtering scheme that avoids the noisy examples based on fuzzy clustering and principal component analysis algorithm is proposed to remove both attribute noises and class noises to achieve an optimal clean set and (2) support vector machine classifiers, based on the particle swarm optimization algorithm, are seen to component classifiers. …”
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STATCOM Controller Tuning to Enhance LVRT Capability of Grid-Connected Wind Power Generating Plants by Irene Ndunge Muisyo, Christopher Maina Muriithi, Stanley Irungu Kamau

“…The STATCOM under investigation is tuned using the Water Cycle Algorithm (WCA), Particle Swarm Optimization (PSO), and a hybrid algorithm of both WCA and PSO. …”
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A Stabilized Incompressible SPH Method by Relaxing the Density Invariance Condition by Mitsuteru Asai, Abdelraheem M. Aly, Yoshimi Sonoda, Yuzuru Sakai

“…A stabilized Incompressible Smoothed Particle Hydrodynamics (ISPH) is proposed to simulate free surface flow problems. …”
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STUDY ON WEAR RELIABILITY OF SYNCHRONIZER SLIDERS OF THE TRACKED VEHICLE by AN Hai, ZHOU Ling, YAN ZhaoYi, SUN Peng

“…For wear-out failure problem of synchronizer sliders in the tracked vehicle,the wear experiment and reliability estimation are developed to study in the paper. Firstly,Partial Least Squares（ PLS） Algorithm is used to process the test data and fit the mathematical expression between the wear rate and the influencing factors. …”
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Multi-UAV Cooperative Air Combat Target Assignment Method Based on VNS-IBPSO in Complex Dynamic Environment by Yiyuan Li, Weiyi Chen, Shukan Liu, Guang Yang, Fan He

“…This method improves upon the limitations of the BPSO algorithm, such as limited local search capability and premature convergence, by combining variable neighborhood search and an improved binary particle swarm optimization algorithm. …”
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Optimization of software project evaluation system by Li ding .

“…A new network topology design method is proposed, and a software project performance evaluation model based on fuzzy neural network is established. An improved particle swarm optimization algorithm is introduced to solve the problem of determining the connection weight coefficient of the evaluation model accurately and efficiently. …”
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Classification of English Translation Teaching Models based on Multiple Intelligence Theory by Xiaoli Li

“…In order to improve the discrimination accuracy of the extreme learning machine algorithm, this paper applies the particle swarm optimization extreme learning machine algorithm to the research on the classification of English translation teaching samples and proposes an intelligent English classification teaching model based on the actual situation of English translation teaching. …”
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Novel hybrid model to improve the monthly streamflow prediction: Integrating ANN and PSO by Baydaa Abdul Kareem, Salah L. Zubaidi

“…This study invented a novel approach for the monthly water streamflow of the Tigris River in Amarah City, Iraq, by integrating an artificial neural network (ANN) with the particle swarm optimisation algorithm (PSO), depending on data preprocessing. …”
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A new method for surface water extraction using multi-temporal Landsat 8 images based on maximum entropy model by Wangping Li, Wanchang Zhang, Zhihong Li, Yu Wang, Hao Chen, Huiran Gao, Zhaoye Zhou, Junming Hao, Chuanhua Li, Xiaodong Wu

“…The spectral matching algorithm based on the discrete particle swarm optimization algorithm (SMDPSO) sometimes overestimates extracted surface water areas. …”
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Hybrid Metaheuristic Model for Optimal Economic Load Dispatch in Renewable Hybrid Energy System by D. Blandina Miracle, R. K. Viral, P. M. Tiwari, Mohit Bansal

“…The proposed hybrid optimization is a combination of particle swarm optimization (PSO) and cat swarm optimization (CSO), and the new algorithm is referred to as the particle oriented cat swarm optimization model (POCSO). …”
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Spatio-Temporal Aware Collaborative Service Ranking Prediction in IoT-Enabled Edge Computing by Yuze Huang, Xiao Chen, Wenhui Zhang, Qianxi Li, He Li

“…In this model, a silhouette coefficient based clustering algorithm is utilized to partition edge domains, and services deployed on the same edge server are compared using the partial ranking model. …”
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Anomaly Detection in Wireless Sensor Networks Using Immune-Based Bioinspired Mechanism by Ramsha Rizwan, Farrukh Aslam Khan, Haider Abbas, Sajjad Hussain Chauhdary

“…Several solutions have been proposed using Artificial Immune System (AIS), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC) algorithm, Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and so forth. …”
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Research on Stability Optimization for Automatic Train Operation of Heavy-haul Trains of Baoshen Railway by FU Shangyuan

“…This algorithm features a multi-particle model and a train state evaluation model for heavy-haul trains, evaluating the development trend of train states while incorporating constraints related to the loading/unloading slope in levels. …”
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Rolling Force Prediction of Hot Rolling Based on GA-MELM by Jingyi Liu, Xinxin Liu, Ba Tuan Le

“…In this paper, a rolling force prediction method based on genetic algorithm (GA), particle swarm optimization algorithm (PSO), and multiple hidden layer extreme learning machine (MELM) is proposed, namely, PSO-GA-MELM algorithm, which takes MELM as the basic model for rolling force prediction. …”
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Heterogeneous Multi-Agent Deep Reinforcement Learning for Cluster-Based Spectrum Sharing in UAV Swarms by Xiaomin Liao, Yulai Wang, Yang Han, You Li, Chushan Lin, Xuan Zhu

“…The MAPPO-H enables the CHs to decide cluster selection and moving position, while CMs utilize IPPO-M to cluster autonomously under the condition of certain partial channel distribution information (CDI). Adequate experimental evidence has confirmed that the HMDRL-UC algorithm proposed in this paper is not only capable of managing dynamic drone swarm scenarios in the presence of partial CDI, but also has a clear advantage over the other existing three algorithms in terms of average throughput, intra-cluster communication delay, and minimum signal-to-noise ratio (SNR).…”
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Nonlinear Klein-Gordon and Schrödinger Equations by the Projected Differential Transform Method by Younghae Do, Bongsoo Jang

“…The results reveal that PDTM is a simple and effective numerical algorithm.…”
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Maximum Power Exploitation of Photovoltaic System under Fast-Varying Solar Irradiation and Local Shading by Yi-Jui Chiu, Bi Li, Chin-Ling Chen, Shui-Yang Lien, Ding Chen, Ji-Ming Yi, Yung-Hui Shih

“…In addition, under fast-varying solar irradiation and local shading, the speed, ability, and stability of the improved MPPT system with the PF-MPPT algorithm when tracking the maximum power were 9.52, 1.32, and 1.84 times of the MPPT system with the P&O algorithm and 2.18, 1.41, and 2.00 times of the MPPT system with the particle swarm optimization algorithm, respectively.…”
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Numerical solution of KdV-mKdV equation based on PINN and its improved method(基于PINN及其改进算法求解KdV-mKdV方程) by 栗雪娟(LI Xuejuan), 刘瑜欣(LIU Yuxin)

“…To overcome these defects, an improved PINN algorithm is proposed based on the idea of gradient enhancement, namely gradient-enhanced physics-informed neural network (gPINN) for solving the problem. gPINN algorithm makes up the defect of gradient attenuation by embedding the gradient information of partial differential equation residuals into the loss function. …”
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Research on Control System for Material Transport Vehicle Based on Stacking Model by LIU Yuanming, TANG Lingsi, Zen Shuhua

“…Finally, the control system was reinforced using an improved proportional-integral-differential (PID) control algorithm to optimize the control performance. This algorithm not only ensures control stability and accuracy, but also reduces energy consumption and mechanical wear. …”
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A Swarm-Based Multi-Objective Framework for Lightweight and Real-Time IoT Intrusion Detection by Hessah A. Alsalamah, Walaa N. Ismail

“…MOOIDS-IoT combines a Genetic Algorithm (GA)-based feature selection technique with a multi-objective Particle Swarm Optimization (PSO) algorithm. …”
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