Overcoming Data Scarcity in Wind Power Forecasting: A Deep Learning Approach With Bidirectional Generative Adversarial Network and Neighborhood Search PSO Algorithm by Shiyu Liu, Fei Chen, Zhendong Liu, Hongyan Qiao

Subjects: “…neighborhood search particle swarm optimization…”
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Review of Swarm Intelligence for Solving Symmetric Traveling Salesman Problem by Awaz Ahmad Shaban, Jayson A. Dela Fuente, Merdin Shamal Salih, Resen Ismail Ali

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DBSCAN inspired task scheduling algorithm for cloud infrastructure by S.M.F D Syed Mustapha, Punit Gupta

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Economic optimization configuration of energy storage in distribution network considering the attenuation of aging photovoltaic output by HU Haipeng, ZHAO Ping, LI Yan, HOU Qingxing, WANG Guanghui, LI Zhenxing

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A Comprehensive Approach to Intrusion Detection in IoT Environments Using Hybrid Feature Selection and Multi-Stage Classification Techniques by G. Logeswari, J. Deepika Roselind, K. Tamilarasi, V. Nivethitha

Subjects: “…quantum-inspired particle swarm optimization…”
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IoT-enabled stepped basin solar stills: Advanced optimization with PSO and ABC algorithms by McLuret, S. Joe Patrick Gnanaraj, Vanthana Jeyasingh

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Design of Super Resolution and Fuzzy Deep Learning Architecture for the Classification of Land Cover and Landsliding Using Aerial Remote Sensing Data by Junaid Ali Khan, Muhammad Attique Khan, Mohammed Al-Khalidi, Dina Abdulaziz AlHammadi, Areej Alasiry, Mehrez Marzougui, Yudong Zhang, Faheem Khan

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A new sliding mode control strategy to improve active power management in a laboratory scale microgrid by Oscar Gonzales-Zurita, Jean-Michel Clairand, Guillermo Escrivá-Escrivá

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Perturbation-Based Nulling Control Beamforming With Measured Element Radiation Patterns for MU-mMIMO by Yuanzhe Gong, Arish Yaseen, Tingrui Zhang, Robert Morawski, Tho Le-Ngoc

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Different Meta-Heuristic Optimized Radial Basis Function Neural Network Models for Short-Term Power Consumption Forecasting by Dhivagar Shanmugam, V Ramana

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A novel TID + IDN controller tuned with coatis optimization algorithm under deregulated hybrid power system by Geetanjali Dei, Deepak Kumar Gupta, Binod Kumar Sahu, Mohit Bajaj, Vojtech Blazek, Lukas Prokop

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Research on the evolution and prediction of the heights of water-conducting fracture zones in overlying rocks during layered mining of extremely thick coal seams by MENG Hailun, CHENG Xianggang, QIAO Wei

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PSO-GWO Optimized Fractional Order PID Based Hybrid Shunt Active Power Filter for Power Quality Improvements by Alok Kumar Mishra, Soumya Ranjan Das, Prakash K. Ray, Ranjan Kumar Mallick, Asit Mohanty, Dillip K. Mishra

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Optimal integration of photovoltaic sources and capacitor banks considering irradiance, temperature, and load changes in electric distribution system by Khaled Fettah, Ahmed Salhi, Talal Guia, Abdelaziz Salah Saidi, Abir Betka, Madjid Teguar, Hisham Alharbi, Sherif S. M. Ghoneim, Takele Ferede Agajie, Ramy N. R. Ghaly

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Methods for state of health estimation for lithium-ion batteries: An essential review by Rhdifa Houda, Ammar Abderazzak, Bouattane Omar

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MULTI-OBJECTIVE RELIABILITY OPTIMIZATION DESIGN OF PLANETARY GEAR TRANSMISSION BASED ON IMPROVED PARTICLE SWARM ALGORITHM by WANG ChunHua, GUO Yue, JIANG ZongShuai

“…To improve the problem that the conventional design results of planetary gear transmission could not guarantee all of objectives were the optimal, aiming at the shortcomings that adaptive particle swarm optimization algorithm easily produced infeasible solution and fell into local optimum, an adaptive particle swarm optimization algorithm based on multi-level penalty function with dynamic change penalty coefficient was proposed. …”
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Fault Diagnosis of Gearbox based on Multi-fractal and PSO-SVM by Li Sha, Pan Hongxia, Zhang Jundong, Zhao Weiwei

“…Aiming at the non-stationary and nonlinear of gearbox vibration signals,a fault diagnosis method based on the multi-fractal and particle swarm optimization support vector machine（PSO-SVM）is put forward.Firstly,the fractal filter with short-time fractal dimension as fuzzy control parameters is used to filtering noise reduction the gearbox vibration signals with bigger background noises.Secondly,the multi-fractal spectrum algorithm is applied to analyze the signal after filtering,the results show that the characteristic parameters:Δa（q）、f（a（q））maxand box dimensions Dbcan give a good presentation for gearbox working condition.Finally,the particle swarm optimization（PSO）is applied to optimize the parameters of support vector machine（SVM）.Taking the multi-fractal characteristic vectors as input parameters of PSO-SVM and SVM to recognize the fault types of the gearbox.The results show that SVM based on particle swarm optimization can improve the classification accuracy.Meanwhile,the validity of gearbox fault diagnosis based on muti-fractal and PSO-SVM is proved.…”
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QoE Guarantee Scheme Based on Cooperative Cognitive Cloud and Opportunistic Weight Particle Swarm by Weihang Shi

“…Finally, the QoE guarantee scheme was proposed with the opportunity weight particle swarm optimization algorithm and collaborative cognitive cloud platform. …”
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Design and Implementation of Group Animation Based on Multimedia Intelligent Algorithm by Qing Li

“…In order to improve the autonomy and intelligence of group animation behavior, this paper proposes a particle swarm optimization algorithm for automatic control of group animation behavior. …”
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Path Planning Method for UUV Homing and Docking in Movement Disorders Environment by Zheping Yan, Chao Deng, Dongnan Chi, Tao Chen, Shuping Hou

“…Finally, the test function is introduced to analyze the performance of NPSO and compare with basic particle swarm optimization (BPSO), inertia weight particle swarm optimization (LWPSO, EPSO), and time-varying acceleration coefficient (TVAC). …”
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