Research on over-the-horizon air combat guidance method based on dynamic RCS by SONG Shaomei, YU Yifei, LI Gai, YANG Qiming, ZHANG Jiandong

“…Then, to maximize the situation assessment value as the goal, particle swarm optimization algorithm is used to find the most appropriate overload at every moment, so as to guide our aircraft into the attack zone to constitute the launch conditions. …”
Get full text

Multi-Depot Pickup and Delivery Problem with Resource Sharing by Yong Wang, Lingyu Ran, Xiangyang Guan, Yajie Zou

“…Third, benchmark tests are conducted to verify the performance and effectiveness of the proposed two-stage hybrid algorithm, and numerical results prove that the proposed methodology outperforms the standard NSGA-II and multi-objective particle swarm optimization algorithm. …”
Get full text

Indoor Wi-Fi fingerprint localization method based on CSI tensor decomposition by Mu ZHOU, Yuexin LONG, Qiaolin PU, Yong WANG, Wei HE

“…Aiming at the problem that as the scale of the fingerprint database increases, the training cost and processing complexity of CSI fingerprints will also greatly increase, an indoor Wi-Fi fingerprint localization method based on CSI tensor decomposition was proposed.Firstly, the tensor decomposition algorithm based on the PARAFAC (parallel factor) analysis model and the ALS (alternate least squares) iterative algorithm were combined to reduce the interference of the environment.Then, the tensor wavelet decomposition algorithm was used to extract the feature and obtain the CSI fingerprint.Finally, a localization model was established based on the PLSR (partial least squares regression) algorithm to realize the location estimation.Experimental results show that the confidence probability of the proposed method is 94.88% within 4 m localization error, which verifies that the proposed method has good localization performance while fitting the relationship between CSI location fingerprints and location coordinates.…”
Get full text

Combined State-of-Charge Estimation Method for Lithium-Ion Batteries Using Long Short-Term Memory Network and Unscented Kalman Filter by Long Pu, Chun Wang

“…Firstly, the particle swarm optimization (PSO) algorithm was utilized to accurately identify the parameters of the battery model. …”
Get full text

A multi-objective optimization approach for the virtual coupling train set driving strategy by Junting Lin, Maolin Li, Xiaohui Qiu

“…Furthermore, the particle swarm optimization (PSO)-based model predictive control (MPC) algorithm has also demonstrated tracking accuracy and further improved safety during VCTS operation, with an average increase of 37.7% in tracking accuracy compared to the traditional MPC algorithm.…”
Get full text

Effect evaluation of repairing cement-mortar microbeams by microbial induced carbonate precipitation by Peifeng Huang, Xinhua Yang, Yue Dai

“…In this paper, multi-phase mixed precipitate models are established by using the random particle generation and packing algorithm. Combined with the cohesive zone model, the deformation and failure behavior of notched cement-mortar microbeams before and after repair under three-point bending loading are numerically simulated. …”
Get full text

Cloud edge end network resource allocation for thermostatically controlled load aggregation regulation by Yi LIU, Xin WU

“…Thermostatically controlled load is a flexible load that controls temperature regulation, such as air conditioning and electric water heaters.As a crucial demand side resource, flexible aggregation and regulation of load clusters can fully mobilize clean energy consumption capacity and ensure the balance between supply and demand of the power grid.Due to the common occurrence of thermostatically controlled loads in commercial office buildings and residential areas, a relatively stable control and transmission method can be adopted.Therefore, an efficient hierarchical transmission network is introduced to achieve data transmission and information interaction between loads and the power grid, and to flexibly, real-time, and accurately utilize the adjustable potential of load clusters.Firstly, an information interaction architecture of load IoT which structured “central cloud-edge cloud-regional load controller-thermostatically controlled load”was proposed.Then, for the “end edge”part, considering the requirements of different aggregation control tasks, an improved clustering algorithm was used to classify the tasks and reduce transmission overhead.For the “end-side” part, an improved clustering algorithm was used to optimize the transmission distance.For the edge-cloud collaboration part, a subchannel resource allocation algorithm was designed based on stable matching and water injection algorithms.The binary particle swarm optimization algorithm was used to solve the task upload decision problem.Finally, the effectiveness of the proposed model and algorithm is verified through simulation, and comparative experiments are also conducted.…”
Get full text

Graph attention networks based multi-agent path finding via temporal-spatial information aggregation. by Qingling Zhang, Peng Wang, Cui Ni, Xianchang Liu

“…However, due to partial observability, agents often struggle to determine optimal strategies. …”
Get full text

Machine learning prediction and explainability analysis of high strength glass powder concrete using SHAP PDP and ICE by Muhammad Sarmad Mahmood, Tariq Ali, Inamullah Inam, Muhammad Zeeshan Qureshi, Syed Salman Ahmad Zaidi, Muwaffaq Alqurashi, Hawreen Ahmed, Muhammad Adnan, Abdul Hakim Hotak

“…To further enhance performance, XGB was optimized using Particle Swarm Optimization (PSO), Firefly Algorithm (FA), and Grey Wolf Optimizer (GWO). …”
Get full text

Research on Simulation Analysis Method of Microbial Cemented Sand Based on Discrete Element Method by Yang Tang, Guobin Xu, Jijian Lian, Yue Yan, Dengfeng Fu, Weichen Sun

“…It consists of an identification of mesoscopic contact model for structural mesoscopic particles, development of morphological algorithm for irregular crystal particles, and classification and setting of mesoscopic parameters for compositional materials and particle size distribution simulation. …”
Get full text

Research on the evaluation method of cooperative jamming effectiveness based on IPSO-ELM by A. Tianjian Yang, B. Xing Wang, C. Siyi Cheng, D. You Chen, E. Xi Zhang

“…Finally, the IPSO-ELM algorithm is subjected to rigorous assessment via simulation, confirming its performance of accuracy and efficiency. …”
Get full text

An OPMA for Robust Mutual Coupling Coefficients Estimation of URA with Single Snapshot in MIMO HF Sky-Wave Radar by Yuguan Hou, Qingguo Jin, Shaochuan Wu, Zhuoming Li

“…Then, based on the idea of the particle filter, the online particles with a moderate computational complexity are used to generate some different estimation results. …”
Get full text

Computer modeling of the synthesis of styrene–butadiene rubber: Influence of the feed of a chain transfer agent on the characteristics of the product by T. A. Mikhailova, S. A. Mustafina

“…The algorithm models the formation of copolymer macromolecules at the particle level, permitting the average molecular characteristics of the copolymer to be calculated and its microstructure to be studied based on modeling results.Results. …”
Get full text

Comparison of Support Vector Machine-Based Techniques for Detection of Bearing Faults by Lijun Wang, Shengfei Ji, Nanyang Ji

“…Simulation results show that the SFLA-SVM algorithm is effective in fault diagnosis. Compared with SVM and Particle Swarm Optimization SVM (PSO-SVM) algorithms, it is demonstrated that the SFLA-SVM algorithm has the advantages of better global optimization, higher accuracy, and better reliability of diagnosis. …”
Get full text

A PSO Driven Intelligent Model Updating and Parameter Identification Scheme for Cable-Damper System by Danhui Dan, Yanyang Chen, Bin Xu

“…This paper suggests a cable model updating calculation scheme driven by the particle swarm optimization (PSO) algorithm. By establishing a finite element model considering the static geometric nonlinearity and stress-stiffening effect firstly, an automatically finite element method model updating powered by PSO algorithm is proposed, with the aims to identify the cable force and relevant parameters of cable-damper system precisely. …”
Get full text

Solving Caldeira-Leggett Model by Inchworm Method with Frozen Gaussian Approximation by Geshuo Wang, Siyao Yang, Zhenning Cai

“…We propose an algorithm that combines the inchworm method and the frozen Gaussian approximation to simulate the Caldeira-Leggett model in which a quantum particle is coupled with thermal harmonic baths. …”
Get full text

Improved sequence-based localization applied in coal mine by Mingzhi Song, Jiansheng Qian

“…The results prove that the improved sequence-based localization algorithm provides comparable accuracy than sequence-based localization.…”
Get full text

Optimization and Coordination of HAFDV PINN Control by Improved PSO by Bin Huang, Nengling Tai, Wentao Huang

“…In this paper, the improved particle swarm optimization (improved PSO) algorithm is proposed to solve the coordinated design problem, and the neural network weights as the particle swarm optimization are adopted to optimize the system parameters. …”
Get full text

基于模拟退火粒子群算法的圆柱齿轮减速器的可靠性优化 by 郑严, 程文明, 程跃, 吴晓

“…Simulate anneal-particle swarm optimization（SA-PSO） is a simple and efficient stochastic global optimization algorithm,and simulated annealing is involved into particle swarm optimization（PSO） with Crossover and Gaussian mutation.The reliability optimization model maximize reducer driven system is established by combining the SA-PSO with the theory of reliability optimization design,and the reliability optimization method for cylindrical gear reducer is presented on the basis of the SA-PSO.This optimization method is used to optimize a cylindrical gear reducer,and the optimal results are much better than those by the PSO,the mixed penalty function method and the traditional design method.The example shows that this reliability optimization design method is effective,and has the predominant capability of global optimization and convergence precision.Moreover,it has a certain reference significance for other mechanical parts reliability optimization.…”
Get full text

Shot-noise-induced lower temperature limit of the nonneutral plasma parallel temperature diagnostic by Adrianne Zhong, Joel Fajans, Jonathan S. Wurtele

“…Abstract We develop a new algorithm to estimate the temperature of a nonneutral plasma in a Penning-Malmberg trap. …”
Get full text