Two-Phase Model of Multistep Forecasting of Traffic State Reliability by Jufen Yang, Zhigang Liu, Guiyan Jiang, Lin Zhu

“…Then a two-phase model is established based on wavelet neural network optimized by particle swarm optimization. The upper phase is a model to estimate the number of predictable steps, and the lower phase is the multistep prediction model of reliability. …”
Get full text

Forecasting Crude Oil Consumption in China Using a Grey Prediction Model with an Optimal Fractional-Order Accumulating Operator by Huiming Duan, Guang Rong Lei, Kailiang Shao

“…According to the particle swarm optimization (PSO) mechanism and the properties of the gamma function of the fractional-order cumulative generation operator, the optimal fractional-order particle swarm optimization algorithm of the FSIGM model is obtained. …”
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

“…For the problem of evaluating the effectiveness of cooperative jamming to group network radar by formation aircraft, a cooperative jamming effectiveness evaluation method based on Improved Particle Swarm Optimization–Extreme Learning Machine (IPSO-ELM) is proposed. …”
Get full text

A novel topology optimization of coverage-oriented strategy for wireless sensor networks by Shuxin Wang, Hairong You, Yinggao Yue, Li Cao

“…Among them, compared with the particle swarm optimization algorithm and artificial fish swarm algorithm, the remaining energy of nodes has increased by 9.5% and 15.5% and the average coverage of the network has increased by 10.5% and 5.6%, respectively.…”
Get full text

Modified shuffled frog-leaping algorithm to solve traveling salesman problem by LUO Xue-hui, YANG Ye, LI Xia

“…Modified shuffled frog-leaping algorithm to solve TSP was proposed,which presented the concept of adjustment sequence to design the strategy of local searching,and added the mutation operation in the global exchange of information.Experimental results indicate that,compared with genetic algorithm and particle swarm optimization algorithm,the proposed algorithm has more powerful search capability and more strong robustness in solving TSP.…”
Get full text

Enhancing Residential Electricity Consumption Forecasting with Meta-Heuristic Algorithms by Milad Mohebbi, Behnam Sobhani

“…The meta-heuristic algorithms employed for fine-tuning the ANN's weight and bias parameters include the Genetic Algorithm (GA), Multi-Verse Optimizer (MVO), Moth Flame Optimization (MFO), Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), Advanced Grey Wolf Optimizer (AGWO), Biogeography-Based Optimization (BBO), and Particle Swarm Optimization with Grey Wolf Optimizer (PSOGWO). …”
Get full text

Optimal Dimensional Synthesis of Ackermann Steering Mechanisms for Three-Axle, Six-Wheeled Vehicles by Yaw-Hong Kang, Da-Chen Pang, Yi-Ching Zeng

“…The employed optimization methods include Particle Swarm Optimization (PSO), Hybrid Particle Swarm Optimization (HPSO), Differential Evolution with golden ratio (DE-gr), and Linearly Ensemble of Parameters and Mutation Strategies in Differential Evolution (L-EPSDE). …”
Get full text

Enhancing the Hybrid Microgrid Performance with Jellyfish Optimization for Efficient MPPT and THD Estimation by the Unscented Kalman Filter by Nivedita Singh, M. A. Ansari, Manoj Tripathy, Pratiksha Gupta, Ikbal Ali, Adel Saleh Rawea

“…The performance of JF is compared against particle swarm optimization (PSO) using various parameters. …”
Get full text

Study on Optimal Design for Synchronizer by Zhang Yong, Huang Mingli, Wu Xuncheng, Zhang Juecheng, Zhang Tao

“…The optimization mathematical model is solved by APSO（ Adaptive particle swarm optimization） and the synchronizer life has greater increase than before optimization.…”
Get full text

Energy-Efficient Virtual Machine Migration and Consolidation Algorithm in Cloud Data Center by Hongjian Li, Yu Dai, Rui Liu, Yi Jiang

“…A method of multi-resource utilization double threshold was designed to trigger migration of virtual machine, and the optical particle swarm optimization method was introduced in the consolidation of virtual machine. …”
Get full text

Optimizing Solid Oxide Fuel Cell Performance Using Advanced Meta-Heuristic Algorithms by Siva Ram Rajeyyagari, Srinivas Nowduri

“…These include the Angle of Attack Optimization (AOA), Particle Swarm Optimization with Grey Wolf Optimizer (PSOGWO), Particle Swarm Optimization (PSO), Grey Wolf Optimizer (GWO), Moth Flame Optimization (MFO), and Multi-Verse Optimizer (MVO). …”
Get full text

Study on Intelligent Classing of Public Welfare Forestland in Kunyu City by Meng Sha, Hua Yang, Jianwei Wu, Jianning Qi

“…Unlike previous approaches, the SVM model is optimized with Grid Search (GS), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) to automatically determine classification parameters, overcoming the limitations of manual rule-based methods. …”
Get full text

Research on Efficiency of Hybrid Power System and Optimization of Control Strategy by Hongyu Zhu, Peng Hao, Guozhi Liu, Wei Xu, Haisheng Xu

“…In order to improve the fuel economy of the power diffluence hybrid vehicle，a physical model of the hybrid system and a system control model are established. The PSO （Particle swarm optimization） with optimized initial value is used to optimize the hybrid power system efficiency. …”
Get full text

Neural network-based link prediction algorithm by Yonghao PAN, Hongtao YU, Shuxin LIU

“…To improve the difference existed in the link prediction accuracy and adaptability of different topology structure similarity based methods,a neural network-based link prediction algorithm,which fused similarity indices by neural network was proposed.The algorithm uses neural network to study the numerical characteristics of different similarity indices,and uses particle swarm optimization to optimize the neural network,and calculates the fusion index by the optimized neural network model.The experiment on the real network data set shows that the prediction accuracy of the algorithm is obviously higher than that before the fusion,and the accuracy is better than the existing methods.…”
Get full text

Interference source single satellite location method based on movable antenna with spot beam by Xijian ZHONG, Gengxin ZHANG, Zhidong XIE

“…An interference source single satellite location method based on movable antenna with spot beam was proposed for GEO satellites.In this method,a mapping relationship between orientation of interference and antenna gain is first established with the function of antenna pattern.Equations were established to calculate the interference signal link combining the orientation information of center of movable spot beam and the intensity of interference signal which derived from moving the beam several times.The orientation of interference was obtained by solving the equations with the help of particle swarm optimization(PSO).Then the longitude and latitude of the interference source could be calculated,jointly considering the ephemeris and the information of the earth.We made a positioning simulation of the ground interference source with the proposed method.The results validate the effectiveness of this method.…”
Get full text

Recursive Neural Networks Based on PSO for Image Parsing by Guo-Rong Cai, Shui-Li Chen

“…This paper presents an image parsing algorithm which is based on Particle Swarm Optimization (PSO) and Recursive Neural Networks (RNNs). …”
Get full text

Energy-saving computation offloading scheme based on Sarsa algorithm in industrial internet of things by Jun SUN, Shangweikang ZHAO

“…In order to reduce the total energy consumption of industrial internet of things systems with deadline requirements, a computing offloading scheme based on Sarsa algorithm was proposed.Based on the characteristics of Sarsa algorithm, the energy consumption optimization problem was coupled.The Sarsa algorithm iterated the external state value function, selected the appropriate edge computing server to offload the computing task, and then the particle swarm optimization algorithm solved the resource allocation problem.Finally, the environmental information was updated for the next round of algorithm iteration until the algorithm met the end conditions.The simulation results show that this scheme has faster convergence speed and effectively reduces the system energy consumption.…”
Get full text

Gear Fault Diagnosis Method based on Multi-domain Feature and Improved D-S Evidence Theory by Fang Liu, Yanxue Wang

“…Relevant feature parameters are extracted from the measured data as the diagnostic samples，and multiple evidences are constructed with the preliminary diagnosis results of particle swarm optimization support vector machine（PSO-SVM）. …”
Get full text

Subarrayed Antenna Array Synthesis Using Ternary Adjusting Method by Guolong He, Yafeng Zhan, Yukui Pei, Bin Wu

“…Ternary adjusting method is proposed and combined with particle swarm optimization (PSO) algorithm for subarrayed antenna array synthesis. …”
Get full text

A PSO-Based Hybrid Metaheuristic for Permutation Flowshop Scheduling Problems by Le Zhang, Jinnan Wu

“…This paper investigates the permutation flowshop scheduling problem (PFSP) with the objectives of minimizing the makespan and the total flowtime and proposes a hybrid metaheuristic based on the particle swarm optimization (PSO). To enhance the exploration ability of the hybrid metaheuristic, a simulated annealing hybrid with a stochastic variable neighborhood search is incorporated. …”
Get full text