基于粒子群优化的形态学滤波器消噪方法 by 吴国洋

“…Aiming at removing the noise of the vibration signal,a new mathematical morphological filter method is proposed,the proposed filter is optimized by particle swarm optimization algorithm.Firstly,the morphological filter is constructed according to the characteristic of morphological algorithm.Then,the particle swarm optimization algorithm is used to select the adaptive structural element,which has an important role in morphological filter,and the maximum signal-noise-ratio is used as the criteria of the optimization process,achieving to get the optimal structural element.Finally,the simulation experiment and the bearing fault signal are analyzed,the results show that the optimal morphological filter is better in removing the noise than the wavelet method and the traditional morphological filter methods,the proposed method can effectively reduce the noise of the mechanical equipment.…”
Get full text

Vehicle Routing Problem for Collaborative Multidepot Petrol Replenishment under Emergency Conditions by Guangcan Xu, Qiguang Lyu

“…As a method to solve the model, genetic variation of multiobjective particle swarm optimization algorithm is considered. …”
Get full text

A High-Precision Real-Time Temperature Acquisition Method Based on Magnetic Nanoparticles by Yuchang Zhu, Li Ke, Yijing Wei, Xiao Zheng

“…Additionally, under dual-frequency superimposed magnetic field excitation, a higher temperature inversion accuracy is achieved compared with that of the particle swarm optimization–gray wolf optimization algorithm, reducing the error from 0.237 K to 0.094 K.…”
Get full text

Hardware-in-loop implementation of an adaptive MPPT controlled PV-assisted EV charging system with vehicle-to-grid integration by Surabhi Singh, Hari Om Bansal

“…This paper developed and compared perturb and observe (P&O), Particle swarm optimization (PSO), and hybrid PSO + Adaptive neuro-fuzzy inference system (ANFIS) based algorithm for MPPT. …”
Get full text

An Innovative Online Adaptive High-Efficiency Controller for Micro Gas Turbine: Design and Simulation Validation by Rui Yang, Yongbao Liu, Xing He, Zhimeng Liu

“…When the DL_ELM model detects a gas turbine’s performance change, a particle swarm optimization (PSO) algorithm is employed to iteratively calculate the DFF_DL_OSELM model, determining the optimal speed control scheme to ensure the gas turbine operates at maximum efficiency. …”
Get full text

Optimal Assembly Position and Multi-objective Trajectory Optimization for Dual Robotic Arms Collaboration by Wang Tianrui, Tao Ping

“…In order to solve the limitation and randomness in determining the collaborative assembly position of dual robotic arms by the traditional manual demonstration method, and taking the coordinated assembly of dual robotic arms axle holes as the engineering background, this study uses the particle swarm algorithm to perform multiple searches for the optimal assembly position for the overall global flexibility in the collaborative assembly process and carries out multi-objective trajectory optimization based on the optimal position, with respect to the overall motion flexibility and trajectory planning of the robotic arm. …”
Get full text

Optimization of a Heavy-Duty Hydrogen-Fueled Internal Combustion Engine Injector for Optimum Performance and Emission Level by Murat Ozkara, Mehmet Zafer Gul

“…This study presents a high-fidelity optimization framework that couples a validated computational fluid dynamics (CFD) combustion model with a surrogate-assisted multi-objective genetic algorithm (MOGA). The CFD model was validated using particle image velocimetry (PIV) data from non-reacting flow experiments conducted in an optically accessible research engine developed by Sandia National Laboratories, ensuring accurate prediction of in-cylinder flow structures. …”
Get full text

MACRPO: Multi-agent cooperative recurrent policy optimization by Eshagh Kargar, Ville Kyrki

“…The use of this control parameter is suitable for environments in which the agents are unable to fully cooperate with each other. We evaluate our algorithm on three challenging multi-agent environments with continuous and discrete action spaces, Deepdrive-Zero, Multi-Walker, and Particle environment. …”
Get full text

Hybrid Sensor Placement Framework Using Criterion-Guided Candidate Selection and Optimization by Se-Hee Kim, JungHyun Kyung, Jae-Hyoung An, Hee-Chang Eun

“…These are followed by one of four optimization algorithms—greedy, genetic algorithm (GA), particle swarm optimization (PSO), or simulated annealing (SA)—to identify the optimal subset of sensor locations. …”
Get full text

Research on Damage Identification of Nonuniform Microcrack in Beam Structures by Jia Guo, Deqing Guan, Yanran Pan

“…The singularity of the wavelet coefficient can be used to identify the signal singularity quickly and accurately, and IA efficiently and accurately calculates the structural damage severity. The particle swarm optimization (PSO) algorithm and the genetic algorithm (GA), widely used, are applied to identify the damage severity of the beam. …”
Get full text

Adaptive Neural Network Iterative Sliding Mode Course Tracking Control for Unmanned Surface Vessels by Chunbo Zhao, Huaran Yan, Deyi Gao, Renqiang Wang, Qinrong Li

“…The performance experiment verifies the effectiveness and practicability of the adaptive iterative sliding mode control algorithm for unmanned surface ships based on reinforcement learning and particle swarm optimization algorithm; meanwhile, comparative tracking experiments verify that the comprehensive performance of the proposed USV’s course tracking control system is better than that of the genetically optimized neural network sliding mode control system. …”
Get full text

HEURISTIC OPTIMIZATION OF ANTENNA DEPLOYMENT FOR COMBINATIONAL TWO-DIMENSIONAL RFID-BASED LOCALIZATION METHOD by Yu. B. Gimpilevich, D. A. Savochkin

“…Four heuristic optimization algorithms (genetic algorithm, plant growth algorithm, simulated annealing algorithm, particle swarm algorithm) are adapted to the problem of the search for the best antenna deployment using a combinational RFID-based two-dimensional localization method. …”
Get full text

OPTIMIZING THE PLACEMENT OF A WORK-PIECE AT A MULTI-POSITION ROTARY TABLE OF TRANSFER MACHINE WITH VERTICAL MULTI-SPINDLE HEAD by N. N. Guschinski, V. E. Zdanovich, B. M. Rozin

“…To solve this problem the mathematical model and heuristic particle swarm optimization algorithm are proposed. …”
Get full text

Cooperative Control and Intelligent Optimization for Air-Sea Heterogeneous Unmanned Systems by Can KE, Huifang CHEN, Lei XIE

“…Simulation results demonstrate that the air-sea heterogeneous unmanned system can achieve formation control while avoiding obstacles and reducing communication overhead, and the proposed algorithm has better convergence and global search ability than the traditional multi-objective quantum-behavior particle swarm optimization algorithm.…”
Get full text

Improvement and Optimization of Thin Dipole for UWB Applications by Duygu Nazan GençoÄlan, Åule Ãolak

“…Additionally, two optimization techniques, Genetic Algorithm and Particle Swarm Optimization are applied to obtain the best dipole radius. …”
Get full text

Study on Fault Arc Recognition Based on Back-Propagation Neural Network by QIAO Weide

“…Frequency doubling wavelet analysis is applied to extract the characteristics of fault arc signal. Vector, firefly-particle swarm optimization algorithm is used to optimize the initial structure parameters of BP neural network. …”
Get full text

Challenges of International Trade and Government Governance from the Perspective of Economic Globalization by Dan Ge

“…On the basis of expounding the particle swarm optimization algorithm and GMDH algorithm, the optimization mode, method, and process of GMDH network based on particle swarm optimization are also expounded. …”
Get full text

Method of Construction of pareto set At a dynamic initial data reception by S. V. Chebakov, L. V. Serebryanaya

“…The general scheme of construction of partial solutions in a case when each element is formed on certain computing algorithm is presented. …”
Get full text

An Optimization Strategy for Unit Commitment in High Wind Power Penetration Power Systems Considering Demand Response and Frequency Stability Constraints by Minhui Qian, Jiachen Wang, Dejian Yang, Hongqiao Yin, Jiansheng Zhang

“…To address the issue of accommodating large-scale wind power integration into the grid, a unit commitment model for power systems based on an improved binary particle swarm optimization algorithm is proposed, considering frequency constraints and demand response (DR). …”
Get full text

Blasting vibration velocity prediction of open pit mines based on GRA-EPSO-SVM model by Pengfei ZHANG, Yong YUAN, Yunhua HE, Shaojun DAI, Jiazhen LI, Xuehai CHI, Wei LI, Xue SUN, Jiao ZHANG, Runcai BAI, Honglu FEI

“…Based on the coal and rock blasting in Yuanbaoshan open-pit coal mine under different occurrence conditions, hole spacing, row spacing, hole depth, maximum charge in single section, minimum resistance line, blast center spacing, elevation difference and peak particle vibration velocity were selected as input parameters, and grey correlation analysis (GRA) was used to filter redundant factors affecting peak blasting vibration velocity (hole depth, maximum charge of single section, minimum resistance line, peak particle velocity); using integrated particle swarm optimization algorithm (EPSO) to optimize the key parameters C and g of SVM algorithm, and inputting the parameters into GRA-EPSO-SVM model for evaluation. …”
Get full text