Multi-objective Newton-Raphson-based optimizer for fractional-order control of PEM fuel cells by Mahmoud S. AbouOmar, Sami El Ferik

“…Results demonstrate the competitive capabilities of the proposed MONRBO algorithm compared to established algorithms including the Nondominated Sorting Genetic Algorithm-II (NSGA-II), Multi-objective Evolutionary Algorithm based on Decomposition (MOEA-D), and Multi-objective Particle Swarm Optimization with Crowding Distance (MOPSO-CD). …”
Get full text

Improving the Performance of Whale Optimization Algorithm through OpenCL-Based FPGA Accelerator by Qiangqiang Jiang, Yuanjun Guo, Zhile Yang, Zheng Wang, Dongsheng Yang, Xianyu Zhou

“…Meanwhile, other two classic algorithms including particle swarm optimization (PSO) and competitive swarm optimizer (CSO) are adopted for comparison. …”
Get full text

A New DG Multiobjective Optimization Method Based on an Improved Evolutionary Algorithm by Wanxing Sheng, Ke-yan Liu, Yongmei Liu, Xiaoli Meng, Xiaohui Song

“…The proposed algorithm was implemented and compared with the strength Pareto evolutionary algorithm 2 (SPEA2), a particle swarm optimization (PSO) algorithm, and nondominated sorting genetic algorithm II (NGSA-II). …”
Get full text

Research on Sensitivity Improvement Methods for RTD Fluxgates Based on Feedback-Driven Stochastic Resonance with PSO by Rui Wang, Na Pang, Haibo Guo, Xu Hu, Guo Li, Fei Li

“…Simulink is used to construct the sensor model of odd polynomial feedback control, and the Particle Swarm Optimization (PSO) algorithm is used to optimize the coefficients of the feedback function so that the sensor reaches a resonance state, thus reducing the noise interference and improving the sensitivity of the sensor. …”
Get full text

A New Method for Fault Detection and Location in a Low-Resistance Grounded Power Distribution Network Using Voltage Phasor of D-PMUs Data by Masoud Najafzadeh, Jaber Pouladi, Ali Daghigh, Jamal Beiza, Sima Shahmohamadi

“…In the first technique, the genetic optimization algorithms and particle swarm optimization for nonlinear modeling of fault position along the distribution line have been utilized for different single-phase, two-phase, and three-phase faults, and in the second technique, neural fuzzy network training has been proposed by different phasor measurement devices. …”
Get full text

Secretary bird optimization algorithm based on quantum computing and multiple strategies improvement for KELM diabetes classification by Yu Zhu, Mingxu Zhang, Qinchuan Huang, Xianbo Wu, Li Wan, Ju Huang

“…First, the Secretary Bird Optimization Algorithm (SBOA) is enhanced by integrating a particle swarm optimization search mechanism, dynamic boundary adjustments based on optimal individuals, and quantum computing-based t-distribution variations. …”
Get full text

Assimilation of PSO and SVR into an improved ARIMA model for monthly precipitation forecasting by Laleh Parviz, Mansour Ghorbanpour

“…Two approaches are defined in the second procedure which includes a forecast combination (C) scheme, IARIMA-C-particle swarm optimization (PSO), and artificial intelligence technique. …”
Get full text

Adaptive Frequency Regulation of Doubly-Fed Pumped Storage Unit Considering Speed and Power Limit by LAO Wenjie, SHI Linjun, WU Feng, YANG Dongmei, LI Yang

“…Then, the impacts of control parameters on the frequency dynamic response are analyzed, and the calculation method of optimal frequency regulation parameters under multi conditions is proposed based on the improved particle swarm optimization algorithm, which aims at minimizing the frequency deviation and takes the speed and power limit of the unit as constraints. …”
Get full text

Enhanced grey wolf optimization for maximum power point tracking in photovoltaic systems with hybrid battery-supercapacitor storage by Chirine Benzazah, Najoua Mrabet, Ahmed ElAkkary, Fathallah Rerhrhaye

“…The proposed method was compared with conventional and metaheuristic optimisation techniques, including Particle Swarm Optimization, Ant Colony Optimization, and the standard Grey Wolf Optimization algorithm. …”
Get full text

Highway Traffic Speed Prediction in Rainy Environment Based on APSO-GRU by Dongqing Han, Xin Yang, Guang Li, Shuangyin Wang, Zhen Wang, Jiandong Zhao

“…In order to accurately analyse the impact of the rainy environment on the characteristics of highway traffic flow, a short-term traffic flow speed prediction model based on gate recurrent unit (GRU) and adaptive nonlinear inertia weight particle swarm optimization (APSO) was proposed. Firstly, the rainfall and highway traffic flow data were cleaned, and then they are matched according to the spatiotemporal relationship. …”
Get full text

Localization of multiple jamming attackers in vehicular ad hoc network by Liang Pang, Xiao Chen, Yong Shi, Zhi Xue, Rida Khatoun

“…When the data set is classified as acceptable, we further explore the means of using particle swarm optimization algorithm to calculate the positional coordinates of each attacker. …”
Get full text

Techno-Economic Feasibility Analysis of Hybrid Renewable Energy System By Using Particle Optimization Technique for the Rural Border Areas in Iraq : Case Study by Husam Salim, Jabbar Rashed

“…This study made use of the MATLAB-based three different types of Particle Swarm Optimization algorithms(PSO),namely,(Modified PSO, Canonical-PSO and Hierarchical PSO with Time-varying Acceleration Coefficients (HPSO-TVAC) When designing a HES, it is important to strike a balance between the three goals of Cost Of Energy (COE), Reliability (REL), and maximizing the value of Renewable Energy Penetration (REP). …”
Get full text

Apriori algorithm based prediction of students’ mental health risks in the context of artificial intelligence by You Fu, Fang Ren, Jiantao Lin

“…The model’s weight coefficients were optimized using the Quantum Particle Swarm Optimization (QPSO) algorithm. The model’s performance was evaluated using data from a mental health survey conducted among college students at a Chinese university.ResultsThe proposed Prophet-LSTM model demonstrated superior performance in predicting student mental health risks compared to other machine learning algorithms. …”
Get full text

The Importance of Exercise and General Mental Health on Prediction of Property-Damage-Only Accidents among Taxi Drivers in Tehran: A Study Using ANFIS-PSO and Regression Models by Ehsan Abbasi, Mansour Hadji Hosseinlou

“…The adaptive neurofuzzy inference system and particle swarm optimization (ANFIS-PSO) was used for tuning the parameters of membership function of the fuzzy model applied for this prediction. …”
Get full text

Fluid flow characteristics estimation of a new integrated bifluid/airbased photovoltaic thermal system utilizing a hybrid optimization method by Ghassan A. Bilal, Abdullateef A. Jadallah, Omayma M. Abdulmajeed, Müslüm Arıcı

“…The optimization was conducted using the Particle Swarm Optimization method to decide the rules of the Fuzzy Logic Controller. …”
Get full text

Efficient control strategy for electric furnace temperature regulation using quadratic interpolation optimization by Serdar Ekinci, Davut Izci, Veysel Gider, Laith Abualigah, Mohit Bajaj, Ievgen Zaitsev

“…To ensure optimal performance, the parameters of the RPIDD2 controller are optimized using metaheuristic algorithms, including the flood optimization algorithm (FLA), reptile search algorithm (RSA), particle swarm optimization (PSO) and differential evolution (DE). …”
Get full text

Design and Analysis of a Multiple and Wide Nulling Collaborative Beamforming Scheme in the Domain of 3-Dimensional Wireless Sensor Networks by Robert Macharia Maina, Philip Kibet Langat, Peter Kamita Kihato

“…It is assumed that desired nulling directions are implicitly known at a CB cluster head. A particle swarm optimization (PSO) algorithm variant is applied in concurrent node transmit amplitude and phase perturbation with an aim of achieving beam steering alongside multiple and wide null steering. …”
Get full text

Holographic inspired high-performance circular polarized spoof surface plasmon polariton leaky-wave antenna excited by a novel launcher by Sajjad Zohrevand, Mohammad Amin Chaychi Zadeh, Ehsan Farokhipour, Daniel Erni, Nader Komjani

“…The anisotropy of each unit cell is achieved by combining the transformation optic method and the particle swarm optimization algorithm. A major challenge of the SSPP LWA based on modulated impedance surfaces is to find a suitable excitation technique. …”
Get full text

Introducing a Rapid and Practical Approach for Determining Fat Content in Cow Milk Using Image Processing by Lena Beheshti Moghadam, Seyed Saeid Mohtasebi, Behzad Nouri, Mahmoud Omid, Seyed Morteza Mohtasebi

“…Cow milk samples spanning a fat content range of 0.2% to 3.5% were analyzed under various lighting conditions, employing a fusion of image processing methods with artificial neural networks (ANNs) and particle swarm optimization (PSO) algorithms. Results demonstrated that the most optimal method, determined through comparative analysis against a reference sample, produced accurate estimations of milk fat content. …”
Get full text

A Modified Asymmetric Bouc–Wen Model-Based Decoupling Control of an XY Piezoactuated Compliant Platform with Coupled Hysteresis Characteristics by Xubin Zhou, Weidong Chen, Qing Xiao, Xiangsen Kong, Xingtian Liu, Liping Zhou, Yichong Dong, Quan Zhang

“…To establish the hysteresis characteristics of the piezo-driven manipulator, a modified Bouc–Wen model has been proposed, and a Genetic Algorithm-based Particle Swarm Optimization (GA-PSO) was adopted to recognize the parameters of the model. …”
Get full text