Control parameter identification method for virtual synchronous generator considering electric vehicles based on dynamic particle swarm optimization by Dongqi Wu, Yong Hu

“…To address the issues of insufficient control parameter identification accuracy and convergence speed during the grid connection of distributed power sources, a control parameter identification method for the Virtual Synchronous Generator (VSG) converter model considering the integration of electric vehicles (EVs) based on the dynamic particle swarm optimization algorithm is proposed. …”
Get full text

Improved particle swarm optimization for fractional order PID control design in robotic manipulator system: A performance analysis by Gamil Ahmed, Ahmed Eltayeb, Nezar M. Alyazidi, Imil Hamda Imran, Tarek Sheltami, Sami El-Ferik

“…The controller has undergone refinement and enhancement using state-of-the-art particle swarm optimization (PSO) techniques incorporating a cost function and a representative bio-inspired algorithm. …”
Get full text

Theoretical investigation of the free fall of a spherical particle in a viscous fluid using continuous piecewise linearization method by Akuro Big-Alabo, Joseph Chukwuka Ofodu

“…This article presents a theoretical investigation of the problem of free fall of a spherical particle in a viscous fluid. The classic Boussinesq-Basset-Oseen (BBO) model for particle motion in laminar flow was modified for generalized flow by using a drag law that is applicable for 0<Re≤2.0 x 10^5. …”
Get full text

Improved empirical wavelet transform combined with particle swarm optimization-support vector machine for EEG-based depression recognition by Yongxin Wang, Longqi Xu, Hongxu Qian, Haijun Lin, Xuhui Zhang

“…In this paper, we propose an improved method for the early objective diagnosis of depression utilizing an empirical wavelet transform (EWT) technique enhanced by a particle swarm optimization-support vector machine (PSO-SVM) algorithm. …”
Get full text

ALGORITHMIC SUPPORT OF INFORMATION PROCESSING IN THE VOLUNTEER CENTER MANAGEMENT SYSTEM by E. A. Ilina, Y. V. Kocherzhinskaya, N. A. Dyakonov, V. A. Dyatlovskiy

“…The results of the development of algorithmic support for the project "Automated Information System of the Volunteer Center" are presented, the purpose of which is to obtain a multifunctional tool for planning and distribution of human and time resources, by partially automating the work of employees and the head of the volunteer center "At the Call of the Heart".…”
Get full text

Cognitive radio auto-adaptive sensing algorithm based on POMDP by Rui-chen XU, Ting JIANG

“…In order to design an appropriate spectrum sensing mechanism in millisecond spectrum hole environment,the optimal data transmission time of secondary users was derived to maximize the data throughput.Furthermore,in order to exploit the millisecond spectrum holes,an auto-adaptive spectrum sensing algorithm based on POMDP (partially observ-able Markov decision process) was proposed.This algorithm executes spectrum sensing or data transmission action in the current decision epoch based on the belief vector and the observation result in the last decision epoch.Simulation results show that the proposed algorithm can constrain the collision probability between primary users and secondary users,and improve systemic spectrum utilization at the same time.…”
Get full text

Cloud drift optimization algorithm as a nature-inspired metaheuristic by Mohammad Alibabaei Shahraki

“…The CDO algorithm mimics the dynamic behavior of cloud particles influenced by atmospheric forces, striking a refined balance between exploration and exploitation. …”
Get full text

Comparative analysis of dehazing algorithms on real-world hazy images by Chaobing Zheng, Wenjian Ying, Qingping Hu

“…Neural augmentation algorithms, however, effectively combine the strengths of both approaches, offering a better overall solution. …”
Get full text

An Evolutionary Algorithm for Solving Academic Courses Timetable Scheduling Problem by Israa Abdulameer Abduljabbar, Sura Mahmood Abdullah

“… Scheduling Timetables for courses in the big departments in the universities is a very hard problem and is often be solved by many previous works although results are partially optimal. This work implements the principle of an evolutionary algorithm by using genetic theories to solve the timetabling problem to get a random and full optimal timetable with the ability to generate a multi-solution timetable for each stage in the collage. …”
Get full text

A fast algorithm for constructing suffix arrays for DNA alphabets by Zeinab Rabea, Sara El-Metwally, Samir Elmougy, Magdi Zakaria

“…The continuous improvement of sequencing technologies has been paralleled by the development of efficient algorithms and data structures for sequencing data analysis and processing. …”
Get full text

An algorithm for automatic fitting and formula assignment in atmospheric mass spectra by V. Mickwitz, O. Peräkylä, F. Graeffe, D. Worsnop, D. Worsnop, M. Ehn

“…</p> <p>The main result of this study is the algorithm itself. While further improvements and tweaks are possible, the algorithm presented here is currently being implemented into the commonly used Tofware analysis software package to allow easy utilization by the broader community. …”
Get full text

CT imaging features and diagnostic algorithm for hepatic cystic echinococcosis by Hao Zhang, Li Zhang, Chi Zhang, Yan-hao Zhu, Yi-en Hong, Lin Li, Li Lai

“…Imaging findings were correlated with pathological results. A diagnostic algorithm was developed and validated, with inter-observer agreement assessed using Fleiss kappa coefficient. …”
Get full text

Optimum Allocation of Microgrid and D-STATCOM in Radial Distribution System for Voltage Profile Enhancement Using Particle Swarm Optimization by Mezigebu Getinet Yenealem

“…This study presents an innovative approach for the optimal allocation of MG and D-STATCOM within a radial distribution system (RDS), aimed at significantly improving voltage profiles. Particle swarm optimization (PSO), a powerful and efficient metaheuristic algorithm, is utilized to determine the optimal sizing of MG and D-STATCOM controllers. …”
Get full text

Medical Dataset Classification: A Machine Learning Paradigm Integrating Particle Swarm Optimization with Extreme Learning Machine Classifier by C. V. Subbulakshmi, S. N. Deepa

“…This paradigm integrates the successful exploration mechanism called self-regulated learning capability of the particle swarm optimization (PSO) algorithm with the extreme learning machine (ELM) classifier. …”
Get full text

Clustering analysis of Yue opera character tone trends based on quantum particle swarm optimization for fuzzy C-means. by Yuhang Zhang, Xiaofeng Wu, Jiawei Xu, Zihao Ning, Xiao Han

“…We designed a detection algorithm using trend data to validate our clustering method, thereby enhancing the accuracy of the analysis of tonal ranges and potential models. …”
Get full text

Research on Capacitated Multi-Ship Replenishment Path Planning Problem Based on the Synergistic Hybrid Optimization Algorithm by Lin Yang, Qinghua Chen, Junjie Mu, Tangying Liu, Xiaoxiao Li, Shuxiang Cai

“…To evaluate performance, the SHOA is benchmarked against ACO, the GA, the particle swarm optimization algorithm, and the simulated annealing algorithm for the capacitated vehicle routing problem. …”
Get full text

Research on fuzzy proportional–integral–derivative (PID) control of bolt tightening torque based on particle swarm optimization (PSO) by X. Cheng, Z. Guo, J. Ke

“…To enhance the precision of bolt tightening, this paper introduces a particle swarm optimization (PSO) algorithm to optimize a fuzzy proportional–integral–derivative (FPID) controller. …”
Get full text

Noise Processing Method of MEMS Tilt Sensor Using Improved Kalman Filter Based on Quantum Particle Swarm Optimization by Yutong Ge, Weizheng Ren, Kaile Yu, Yiran Zhang, Yuxiao Li

“…To validate the denoising performance of proposed algorithm, an experimental scene was set up with a six-dimensional space vibration test bench. …”
Get full text

Spatial Modeling of Airborne Particles (PM2.5 and PM10) in Tehran city Using Convolutional Neural Network. by Abed Bashar Doost, Mohammad Saadi Mesgari

Get full text

Encoding local label correlations in multi-instance multi-label learning with an improved multi-objective particle swarm optimization by Xiang Bao, Fei Han, Qinghua Ling

“…In this paper, a MIML algorithm encoded with local label correlations with an improved Multi-Objective Particle Swarm Optimization (MIML-MOPSO-LLC) is proposed to address the above problems. …”
Get full text