Hydropower Plant Available Energy Forecasting Using Artificial Neural Network and Particle Swarm Optimization by Suriya Kaewarsa, Vanhkham Kongpaseuth

“…Considering the fluctuation and nonlinearity of data which significantly influence the forecasting results, this study develops an effective hybrid model by integrating an Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO) called “PSO-ANN” model based on the hydrological and meteorological data pre-processed by cross-correlation function (CCF), autocorrelation function (AFC), and normalization techniques for predicting the available energy portion corresponding to the reservoir inflow mentioned above for a case study hydropower plant in Laos, namely, the Theun-Hinboun hydropower plant (THHP). …”
Get full text

Permeability Predictions for Tight Sandstone Reservoir Using Explainable Machine Learning and Particle Swarm Optimization by Jing-Jing Liu, Jian-Chao Liu

“…Based on the data preprocessing, global and local interpretations are performed according to the Shapley additive explanations (SHAP) analysis, and the redundant features in the data set are screened to identify the porosity, AC, CAL, and GR slope as the four most important features. The particle swarm optimization algorithm is then used to optimize the hyperparameters of the XGBoost model. …”
Get full text

Hybrid Particle Swarm and Differential Evolution Algorithm for Solving Multimode Resource-Constrained Project Scheduling Problem by Lieping Zhang, Yingxiong Luo, Yu Zhang

“…In order to find a feasible solution for the multimode resource-constrained project scheduling problem (MRCPSP), a hybrid of particle swarm optimization (PSO) and differential evolution (DE) algorithm is proposed in this paper. …”
Get full text

Credit card fraud Detection using Feature select method and improved machine learning algorithm by Mohammed AL-Hammadi

“…The SVM classification model then performs the final classification, with its hyperparameters optimized through the particle swarm optimization (PSO) technique. …”
Get full text

Silicon Mode (de)Multiplexer Based on Cascaded Particle-Swarm-Optimized Counter-Tapered Couplers by Weiwei Chen, Hongxiang Li, Bohao Zhang, Pengjun Wang, Shixun Dai, Yuxiao Liu, Jun Li, Yan Li, Qiang Fu, Tingge Dai, Hui Yu, Jianyi Yang

“…In this paper, a design of a silicon mode (de)multiplexer based on cascaded counter-tapered couplers is proposed and investigated. By using the particle swarm optimization algorithm and finite difference time domain method, structural parameters of each counter-tapered coupler in our proposed mode (de)multiplexer are optimized so that high conversion efficiencies can be obtained and coupling lengths can be significantly shortened. …”
Get full text

Hybrid Swarm Intelligence and Human-Inspired Optimization for Urban Drone Path Planning by Yidao Ji, Qiqi Liu, Cheng Zhou, Zhiji Han, Wei Wu

“…Urban drone applications require efficient path planning to ensure safe and optimal navigation through complex environments. Drawing inspiration from the collective intelligence of animal groups and electoral processes in human societies, this study integrates hierarchical structures and group interaction behaviors into the standard Particle Swarm Optimization algorithm. …”
Get full text

Short term traffic flow prediction and timing optimization at signalized intersections based on SG-LSTM and particle swarm optimization by Lei Yang, Ruijun Guo

“…The Pareto compromise programming method is employed to perform dimensionless processing of the three performance indicators, while the fuzzy preference method is utilized to ascertain the weight relationships among the objective functions. The optimized signal timing scheme is derived through the implementation of the particle swarm optimization algorithm in Matlab. …”
Get full text

Analysis on Solar Panel Crack Detection Using Optimization Techniques by M.D. Dafny Lydia, K. Sri Sindhu, K. Gugan

“…Crack can be distinguished by utilizing optimization techniques based on segmentation. The optimization techniques are Particle Swarm Optimization (PSO), Differential Particle Swarm Optimization (DPSO) and Fractional Order Differential Particle Swarm Optimization (FODPSO). …”
Get full text

Performance Analysis of a Semiactive Suspension System with Particle Swarm Optimization and Fuzzy Logic Control by Abroon Jamal Qazi, Clarence W. de Silva, Afzal Khan, Muhammad Tahir Khan

“…It is able to handle nonlinearities through the use of heuristic rules. Particle swarm optimization (PSO) is applied to determine the optimal gain parameters for the fuzzy logic controller, while maintaining within the normalized ranges of the controller inputs and output. …”
Get full text

Interpretability-Oriented Adjustment of K-Means: A Multiple-Objective Particle Swarm Optimization Framework by Liang Chen, Leming Sun, Caiming Zhong

Get full text

Optimal power allocation in spatial MIMO channel using heuristic algorithms by Javad Zeraatkar Moghaddam, Hamid Farrokhi

Subjects: Get full text

Comparative Study of Swarm-Based Algorithms for Location-Allocation Optimization of Express Depots by Yong-Wei Zhang, Qin Xiao, Xue-Ying Sun, Liang Qi

“…The proposed encoding scheme is verified on particle swarm optimization, differential evolution, artificial bee colony, and powerful differential evolution variant, and the performances are compared to those of the traditional encoding scheme. …”
Get full text

Hadoop Processing Methods for Large Scale Video Data by Guangzhi Wu

Subjects: Get full text

Improved Binary Grey Wolf Optimization Approaches for Feature Selection Optimization by Jomana Yousef Khaseeb, Arabi Keshk, Anas Youssef

“…Each approach combines GWO with Particle Swarm Optimization (PSO) by implementing GWO followed by PSO. …”
Get full text

Performance Evaluation of a Radial Distribution Network Under Emerging Load Prediction Modeling Approach and DG Integration Using a Particle Swarm Optimization Algorithm by Demsew Mitiku Teferra

“…This research presents a comprehensive performance evaluation of an 11-bus, 15 kV radial distribution network in Ethiopia, utilizing particle swarm optimization (PSO) to assess the impact of emerging load prediction models and distributed generation (DG) integration. …”
Get full text

A satellite selection algorithm based on adaptive simulated annealing particle swarm optimization for the BeiDou Navigation Satellite System/Global Positioning System receiver by Ershen Wang, Caimiao Sun, Chuanyun Wang, Pingping Qu, Yufeng Huang, Tao Pang

“…In addition, the algorithm is improved using the adaptive simulated annealing particle swarm optimization (ASAPSO) approach to prevent converging to a local minimum. …”
Get full text

Enhanced path planning algorithm via hybrid WOA-PSO for differential wheeled mobile robots by Huda Talib Najm, Nur Syazreen Ahmad, Ahmed Sabah Al-Araji

Subjects: Get full text

Virtual Network Resource Allocation Algorithm Based on Load Balance in Carrier-SDN by Li Wang, Jihong Zhao, Hua Qu, Ya Guo

“…Resource allocation algorithm for virtual networks in carrier-SDN based on load balance was proposed.Firstly,multiple-layered model of carrier-SDN was constructed.Secondly,the binaryzation of particle swarm optimization algorithm with the characteristic of virtual network embedding（VNE）algorithm was realized.Finally,load balance was set as optimization object,then the solution of VNE problem was got.The simulation results demonstrate that the proposed algorithm has superior performance in terms of load balance,acceptance ratio and average compared with existing methods.…”
Get full text

Error Compensation for Delta Robot Based on Improved PSO-GA-BP Algorithm by Kaiwen Yang, Zhan Pan, Linlin Zheng, Qinwen Li, Deyong Shang

Subjects: Get full text

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

Subjects: “…dqn algorithm optimization…”
Get full text