PSO localization algorithm for WSN nodes based on modifying average hop distances by Yan-hang ZHAO, Zhi-hong QIAN, Xiao-hang SHANG, Chao CHENG

“…Regarding the relatively big errors with running the DV-hop localization algorithm in a network topology scenario,with which nodes randomly distributes,a particle swarm optimization localization algorithm for WSN nodes based on modifying average hop distance was proposed.changing the structure of data packets sent by anchor nodes with broadcasting,weighting the average hop distance error of reference anchor nodes to modify the average hop distance,and using an improved particle swarm algorithm to optimize iteration process for localization,thus,WPDV-Hop localization algorithm improvements were carried out.The simulation results indicate that the localization accuracy and the stability of the WPDV-Hop localization algorithm are significantly improved compared with the original algorithm.…”
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Grey modeling method for approximate exponential sequence of optimizing initial condition by Yun YUE, Guangyue LU

“…Grey GM（1,1）prediction method is only suitable for the prediction model of the original sequence which satisfies the characteristic of the approximate exponential through the accumulated generating operation.In order to widen the application range of the traditional grey prediction model,a new method,dubbed DGM（1,1,c,β）model（direct grey model）,was proposed to improve the accuracy of grey GM（1,1）prediction by optimizing initial conditions.DGM（1,1,c,β）model was established for the original sequence conforming to the approximate exponential and the model parameters were obtained by the particle swarm optimization algorithm.Both the simulation and analysis of the example demonstrate that the proposed method is more effective and practical.…”
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Optimization of Plug-in HEV Power and Control Strategy Parameter based on the Particle Swam Optimization Algorithm by Yin Andong, Zhang Yu, Zhang Bingzhan, Zhao Han, Wang Ruofei

“…A newly developed plug-in hybrid electric vehicle is taken as research object and the vehicle simulation model is built by using CRUISE on the basis of completing the match of transmission parameters and control strategy design.An optimization model of plug-in HEV parameters is set up,applying optimization software Isight to integrate with CRUISE model.The constraints of the model are the designed power performance and the objective function is the fuel consumption and emission performance.The particle swarm optimization is applied to optimize the transmission system parameters and the control strategy parameter simultaneously.Compared the simulation results demonstrate that fuel consumption per hundred kilometer of PHEV is reduced by 12.5%and equivalent fuel consumption is reduced by 10.7% under UDDS driving cycle after optimization.…”
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Seven-Spot Ladybird Optimization: A Novel and Efficient Metaheuristic Algorithm for Numerical Optimization by Peng Wang, Zhouquan Zhu, Shuai Huang

“…In this paper, the performance of the SLO is compared with that of the genetic algorithm, particle swarm optimization, and artificial bee colony algorithms by using five numerical benchmark functions with multimodality. …”
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TOOL PATH OPTIMIZATION WITH HIGH EFFICIENCY AND LOW ENERGY CONSUMPTION IN BALL-END CUTTER MILLING BASED ON HYBRID ALGORITHM by WANG YongBing, LI Li, ZHAO JunHua, Deng XingGuo

“…The crossover,mutation and reversal operations of genetic algorithm are introduced to improve the particle swarm optimization algorithm. Finally,the effectiveness of the proposed method is verified by two semi-finishing experiments.…”
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Time-optimal Trajectory Planning of Robot based on Breed Algorithm by Yu Rui, Wang Chengjun, Guo Yongcun, Zhang Yuping

“…Contrast to the particle swarm optimization,the breed algorithm has the higher precision and more rapid speed in the convergence procedure. …”
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Indoor Robot Localization Based on Multidimensional Scaling by Wei Cui, Chengdong Wu, Yunzhou Zhang, Bing Li, Wenyan Fu

“…To address this problem, a minimum residual MDS algorithm based on particle swarm optimization (PSO) is proposed to derive a new solution for indoor robot localization under the unified framework. …”
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Power short-term load forecasting based on big data and optimization neural network by Xin JIN, Long-wei LI, Jia-nan JI, Zhi-qi LI, Yu HU, Yong-bin ZHAO

“…With the reduction of the cost of power data acquisition and the interconnection of large scale power systems,the types of data available in the power network are becoming more and more abundant.In the past,the centralized fore-casting method was limited to the analysis of the massive power data.Therefore,a short-term power load forecasting based on large data and particle swarm optimization BP neural network was proposed,and short-term power load fore-casting model was established.The actual load data of the national grid,using the method of prediction,compared with the actual load data and centralized load forecasting results prove that this method is accurate enough,reduce the load forecasting time with feasibility in practical application.…”
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QoE-aware video distribution mechanism in FiWi by Ruyan WANG, Yan YANG, Dapeng WU

“…The mismatch of transmission ability causes the discontinuous transmission of video services in fiber-wireless access network,aimed at this problem,an QoE-aware video distribution mechanism was proposed.According to the structural characteristics of fiber-wireless access network,link state information and scalable video coding structure was considered,a QoE evaluation mode was established,and the particle swarm optimization algorithm was used to select optimal video transmission rate.Then the node transmission capacity and the node matching degree was analyzed,transmission path for the services was selected,so as to ensure the reliable transmission of services.The results show that the proposed mechanism can effectively improve the utilization rate of network resources and reduce network congestion while improving the quality of the user experience.…”
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Trajectory Optimization for 6R Industrial Robot based on Multi-object PSO by Li Li, Fang Lijin, Wang Guoxun

“…In the robot task space,the NURBS curve is used to describe end effector trajectory,the algorithm of the inverse kinematics of the robot is used to transform the task space trajectory into the joint space.A constrained backbones multi-objective particle swarm optimization algorithm with adaptive penalty function is proposed to optimize the time,velocity,acceleration and jerk of the industrial robot. …”
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Gaussian Qualitative Trigonometric Functions in a Fuzzy Circle by M. Clement Joe Anand, Janani Bharatraj

“…We have also developed the trigonometric identities based on qualitative representation by defining trigonometric functions qualitatively and applied the concept to fuzzy particle swarm optimization using α-cuts.…”
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Adaptive routing and wavelength assignment method based on SDN by Zhongnan ZHAO, Jian WANG, Hongwei GUO

“…Routing and wavelength assignment is an important resource allocation method of all-optical network.Aiming at the problem of traditional method combined with the new architecture,an adaptive multi-objective routing and wavelength assignment method based on SDN was proposed,which could realize the allocation of link resources of all-optical network through self-regulation.Based on the SDN service function chain model,service scheduling time and link service quality were taken as the scheduling objective,routing and wavelength assignment problem was constructed as the 0-1 integer programming problem,meanwhile,binary hybrid topology particle swarm optimization algorithm was used to optimize the network resources for optimal scheduling.The simulation results show that the proposed method is superior to the traditional classical algorithms in the test of recovery time,blocking rate and resource utilization.…”
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Solving of the Workspace Boundary of Planar Parallel Mechanism based Modified PSO Algorithm by Ji Fangfang Zhao Xin

“…A new method for determining the workspace boundary of planar parallel mechanism by using improved particle swarm optimization (MPSO) algorithm is proposed. A general objective function is formulated to give the best value that the planar parallel mechanism reaches its limit point. …”
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Prediction of China’s Express Business Volume Based on FGM (1, 1) Model by Chunyan Xiong, Liusan Wu

“…Based on the data of China’s express business volume from 2015 to 2019, this paper uses the improved Particle Swarm Optimization algorithm to calculate the fractional-order r of the FGM (1, 1) model and forecasts China’s express business volume from 2020 to 2023. …”
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Path Planning Using a Hybrid Evolutionary Algorithm Based on Tree Structure Encoding by Ming-Yi Ju, Siao-En Wang, Jian-Horn Guo

“…To solve the problem of hybrid genetic algorithm and particle swarm optimization, the “dummy node” is added into the binary trees to deal with the different lengths of representations. …”
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Optimization of Energy Management Strategy for Plug-in Axle-split Hybrid Electric Vehicle by Du Changqing, He Biao, Cao Xiliang, Wang Huawu, Ren Weiqun

“…The key parameters of the corrected power factor of engine，start-up speed and energy management strategy control rules are optimized offline by using particle swarm optimization （PSO）. On the AMESim-Simulink co-simulaton platform，the optimization model is established and simulated. …”
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FAULT DIAGNOSIS OF RECIPROCATING COMPRESSOR ON THE RESONANCE-BASED SPARSE SIGNAL DECOMPOSITION WITH OPTIMAL Q-FACTOR by WANG JinDong, BU QingChao, ZHAO HaiYang, ZHANG HongBin

“…Reciprocating compressor vibration signal is typical nonlinear and non-stationary,and the vibration information interference coupling, owing to this problem,a fault diagnosis method of reciprocating compressor on the resonance-based sparse signal decomposition with optimal Q-factor was proposed.The method use resonance sparse decomposition to find the low resonance component which its kurtosis is maximum, optimize Q-factor with genetic algorithm and particle swarm optimization to get the optimal Q-factor;then use resonance sparse decomposition to decompose reciprocating compressor vibration signal by the optimal Q-factor;the result shows that this method can diagnose the oversized bearing clearance fault effectively.…”
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Optimal Scheduling for Retrieval Jobs in Double-Deep AS/RS by Evolutionary Algorithms by Kuo-Yang Wu, Sendren Sheng-Dong Xu, Tzong-Chen Wu

“…Three types of evolutionary algorithms, the Genetic Algorithm (GA), the Immune Genetic Algorithm (IGA), and the Particle Swarm Optimization (PSO) algorithm, are implemented to obtain the optimal assignments. …”
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Analysis of stability condition for LDPC codes and optimizing degree sequences over mixed channel by Kang-ning SUN, Lin-hua MA, Le RU, Wen-tong FAN, Xing HU, Shao-cheng HUANG

“…Under the circumstance that white Gaussian noise and random erasures exist all at once,the stability condition for LDPC codes over mixed channel was proposed.And it was proved that a good degree sequence of LDPC codes was not optimized over mixed channel.It can also be proved by simulation.The random particle swarm optimization (RPSO) and simulated annealing (SA) algorithm were combined to find some capacity-approaching degree sequences over mixed channel with different erasure probabilities.The threshold of signal-to-noise ratio improves 1.615 9 dB than that of the classical degree sequences calculated by Gaussian approximation over mixed channel.These degree sequences are optimal for optical recording and frequency-hopping communication with narrow-band interference.…”
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RELIABILITY BASED ROBUIST DESIGN OPTIMIZATION OF WIND TURBINE GEAR BOX BASED ON DYNAMICS by WANG ChunGuang

“…An engineering example is present,the simulated annealing particle swarm optimization（ PSO） and interior penalty function method are used to solve the problem. …”
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