Protection scheme of flexible MTDC transmission line based on ISSA-BiLSTM by LI Zheng, CHEN Tangxian, ZHANG Yunning, LIU Shuangyang, SUN Peisheng

“…Based on wavelet transform technology, the characteristics of transmission line faults are extracted as model input to train the model; the original sparrow search algorithm is improved by using Sine chaotic mapping, learning particle swarm algorithm strategy, and introducing Gaussian disturbance term. …”
Get full text

State of Health Estimation of Li-ion Batteries Based on GWO-LSSVM by Ju-chen LI, Yu-li HU, Jian GAO, Li-teng ZENG, Yi ZHENG, Wen-shuai DAI

“…The estimated results were compared with those obtained by the LSSVM algorithm based on the grid search method and the LSSVM algorithm based on the particle swarm optimization algorithm. …”
Get full text

Multi-Criteria Optimization of a Standalone Photovoltaic System in Cyprus (Techno-Economic Analysis) by Athina Vogiatzoglou, Konstantinos Alexakis, Dimitris Askounis

“…This study proposes a two-stage optimization approach for standalone photovoltaic systems, employing three distinct optimization algorithms—NSGA-II, DEMO, and Particle Swarm Optimization—to minimize both the Loss of Load Probability (LLP) and the life cycle cost (LCC). …”
Get full text

Enhancing DC Motor Speed Control Performance Using Heuristic Optimization and Comparative Analysis of Control Methods by Ali Öztürk, Nasser Bandar Nasser Al Saremi, Beytullah Bozali

“…The parameters of these controllers were tuned using Matlab Tuned, The Cheetah Optimizer (CO) Algorithm, a new generation heuristic optimization method, and Particle Swarm Optimization (PSO), a widely accepted optimization method. …”
Get full text

Improving Trajectory Tracking of Differential Wheeled Mobile Robots With Enhanced GWO-Optimized Back-Stepping and FOPID Controllers by Li Qiang, Hooi Hung Tang, Nur Syazreen Ahmad

“…Simulations demonstrate the superior performance of the proposed GWO-SMA algorithm compared to existing optimization techniques, such as Particle Swarm Optimization (PSO), Gazelle Optimization Algorithm (GOA), and its individual components, GWO and SMA, which have shown strong performance in recent literature for optimizing PID-type controllers. …”
Get full text

Mathematical analysis of Prandtl number with Artificial neural network and fractional operator for nanofluid flow by Muhammad Ramzan, Ahmad Shafique, Shajar Abbas, Rifaqat Ali, Tarik Lamoudan, Rashid Jan, Muyassar Norberdiyeva, Bakhora Turabova, Hakim AL Garalleh

“…Methods:: The governing partial differential equations are non-dimensionalized and solved using the Laplace transform method. …”
Get full text

Adaptive drive-based integration technique for predicting rheological and mechanical properties of fresh gangue backfill slurry by Chaowei Dong, Jianfei Xu, Nan Zhou, Jixiong Zhang, Hao Yan, Zejun Li, Yuzhe Zhang

“…Analysis demonstrates that the particle swarm optimal (PSO) algorithm based on adaptive adjustment strategy can effectively optimize the hyperparameters of support vector regression (SVR), and the MC-PSO-SVR model exhibits better predictive capability (R2> 0.88) and lower error coefficients (MAE, RSE, and RMSE values approaching 0) and narrower widths of 95 % confidence intervals for yield stress, plastic viscosity, fluidity, and UCS. …”
Get full text

Enhancing power system stability by coordinating a wind turbine voltage regulator and lead-lag power system stabilizer using GOOSE optimization by Nader M. A. Ibrahim, Attia A. El-Fergany, Bassam A. Hemade

“…The GOA performance compared with the Osprey Optimization Algorithm (OOA) and Particle Swarm Optimizer (PSO). …”
Get full text

Optimized ensemble learning for non-destructive avocado ripeness classification by Panudech Tipauksorn, Prasert Luekhong, Minoru Okada, Jutturit Thongpron, Chokemongkol Nadee, Krisda Yingkayun

“…Five machine learning models Random Forest, Decision Tree, XGBoost, Gradient Boosting, and Gaussian Mixture Model were trained separately and then merged into an ensemble. Four algorithms were used to optimize the model weight distribution: Bayesian Optimisation, Differential Evolution, Particle Swarm Optimisation, and Grid Search. …”
Get full text

Performance of an End-to-End Inventory Demand Forecasting Pipeline Using a Federated Data Ecosystem by Henrique Duarte Moura, Els de Vleeschauwer, Gerald Haesendonck, Ben De Meester, Lynn D’eer, Tom De Schepper, Siegfried Mercelis, Erik Mannens

Get full text

Development of A Novel Discharge Routing Method Based On the Large Discharge Dataset, Muskingum Model, Optimization Methods, and Multi-Criteria Decision Making by Mahdi Valikhan Anaraki, Saeed Farzin, Iman Ahmadianfar, Amin Shams

“…Different MOAs, including a Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Firefly Algorithm (FFA), Cuckoo Search (CS), Bat Algorithm (BA), Shark Smell Optimization (SSO), Whale Optimization Algorithm (WOA), Harris Hawk''s Optimization (HHO), and hybrid of WOA and CS (WOA_CS), were developed for Muskingum calibration. …”
Get full text

Machine Learning and Metaheuristics Approach for Individual Credit Risk Assessment: A Systematic Literature Review by Álex Paz, Broderick Crawford, Eric Monfroy, José Barrera-García, Álvaro Peña Fritz, Ricardo Soto, Felipe Cisternas-Caneo, Andrés Yáñez

“…It categorizes the use of machine learning algorithms, feature selection methods, and metaheuristic optimization techniques, including genetic algorithms, particle swarm optimization, and biogeography-based optimization. …”
Get full text

ACO-NM hybrid optimization calculation method for transit time of oxygen activation logging in CO2 injection profile by WANG Zhengyan, CHEN Meng, YANG Guofeng, LIU Guoquan, PEI Yang, CHEN Qiang

“…This approach reduced the dimension of the solution vector and enhanced operational efficiency. Despite the NM algorithm’s advantages of requiring no prior guidance and exhibiting rapid convergence, as a direct optimization algorithm, its results were greatly affected by the initial solution. …”
Get full text

Multi-stage adaptive speed control with torque ripple optimization for a switched reluctance motor in electric vehicle applications by Youness Boumaalif, Hamid Ouadi, Fouad Giri

Get full text

Optimizing Multi-Quay Combined Berth and Quay Crane Allocation Using Computational Intelligence by Sheraz Aslam, Michalis P. Michaelides, Herodotos Herodotou

“…For comparison purposes, we implement two baseline approaches, first come first serve and exact MILP, and two CI approaches, particle swarm optimization (PSO) and genetic algorithm (GA), that are typically used to solve such complex or NP-hard problems. …”
Get full text

Meson thermalization with a hot medium in the open Schwinger model by Takis Angelides, Yibin Guo, Karl Jansen, Stefan Kühn, Giuseppe Magnifico

“…In such cases, capturing the complex thermalization process requires a detailed understanding of how particles evolve and interact with a hot medium. Considering the open lattice Schwinger model and using tensor network algorithms, we investigate the thermalization dynamics of mesonic particles in a hot medium, such as the Schwinger boson or the electric flux string. …”
Get full text

Enhanced Multi-Model Deep Learning for Rapid and Precise Diagnosis of Pulmonary Diseases Using Chest X-Ray Imaging by Rahul Kumar, Cheng-Tang Pan, Yi-Min Lin, Shiue Yow-Ling, Ting-Sheng Chung, Uyanahewa Gamage Shashini Janesha

Get full text

Dynamic optimization of solar DG and shunt capacitor placement to mitigate the impact of EV charging stations on power distribution network by T. Yuvaraj, M. Thirumalai, T.D. Suresh, Sudhakar Babu Thanikanti, Mohammad Khishe

“…To address these challenges, this research proposes a novel optimization framework that integrates the quasi-refined slime mould algorithm (QRSMA) with conventional slime mould algorithm (SMA), particle swarm optimization (PSO), and genetic algorithm (GA) techniques for the optimal placement of solar-based distributed generators (SDGs) and shunt capacitors (SCs). …”
Get full text

Multi-objective optimization of wavy microchannel heat sinks with symmetric configurations generated by interpolation curves by Zhen Li, Haitao Han, Xunqing Huang, Jiarun Lou, Qiancan He, Haoran Zheng, Xiangyao Xue, Shuai Shao

“…Partial correlation analysis reveals that the design variables W1 and W3 describing the width of microchannels have the greatest influence on the two objective functions with different trends. …”
Get full text

A hybrid renewable energy system for Hassi Messaoud region of Algeria: Modeling and optimal sizing by Yacine Bourek, El Mouatez Billah Messini, Chouaib Ammari, Mohamed Guenoune, Boulerbah Chabira, Bipul Krishna Saha

“…A particle swarm optimization (PSO) approach was also implemented for comparison, highlighting the advantages of the GA in terms of cost distribution and system reliability. …”
Get full text