Multi-user joint task offloading and resource allocation based on mobile edge computing in mining scenarios by Siqi Li, Weidong Li, Wanbo Zheng, Yunni Xia, Kunyin Guo, Qinglan Peng, Xu Li, Jiaxin Ren

“…To evaluate the effectiveness of the proposed method, we compare it with five baseline algorithms: the improved grey wolf optimizer metaheuristic algorithm, the traditional genetic algorithm, the binary offloading decision mechanism, the partial non-cooperative mechanism, and the fully local execution mechanism. …”
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Multi-criteria decision model for multicircular flight control of unmanned aerial vehicles through a hybrid approach by Noorulden Basil, Hamzah M. Marhoon, Bayan Mahdi Sabbar, Abdullah Fadhil Mohammed, Osamah Albahri, Ahmed Albahri, Abdullah Alamoodi, Iman Mohamad Sharaf, Amare Merfo Amsal, Mahrous Ahmed, Enas Ali, Sherif S. M. Ghoneim

“…The proposed algorithm combines the strengths of particle swarm optimization (PSO) and the ant lion optimizer (ALO), which are enhanced by the Eagle strategy to systematically fine-tune the FOPID controller parameters. …”
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Event-triggered iterative learning control for output constrained multi-agent systems. by Wei Cao, Huanhuan Li, Jinjie Qiao, Yi Zhu

“…Firstly, the estimated Pseudo partial derivative(PPD) algorithm is determined based on the input and output data of the system, and the output observer is designed based on the estimated PPD. …”
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The Rational Spectral Method Combined with the Laplace Transform for Solving the Robin Time-Fractional Equation by Lufeng Yang

“…In this paper, the rational spectral method combined with the Laplace transform is proposed for solving Robin time-fractional partial differential equations. First, a time-fractional partial differential equation is transformed into an ordinary differential equation with frequency domain components by the Laplace transform. …”
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L-Shaped-Sensor-Array-Based Localization and Tracking Method for 3D Maneuvering Target by Xing Zhang, Xue Wang

“…Thirdly an autoregressive (AR) particle filter (PF) algorithm is realized to predict the locations in the next moment. …”
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Crude Oil Price Prediction Based on a Dynamic Correcting Support Vector Regression Machine by Li Shu-rong, Ge Yu-lei

“…We also propose the hybrid RNA genetic algorithm (HRGA) with the position displacement idea of bare bones particle swarm optimization (PSO) changing the mutation operator. …”
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3D Gerchberg-Saxton Optical Correlation by Wen Chen

“…A 2D image is divided into particle-like points placed in 3D space, which are simultaneously encoded into the cascaded phase masks by using a modified Gerchberg–Saxton algorithm. …”
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A Sleep Scheduling Mechanism with PSO Collaborative Evolution for Wireless Sensor Networks by Luobing Dong, He Tao, William Doherty, Marten Young

“…This paper proposes a particle swarm optimization sleep scheduling mechanism for use in wireless sensor networks based on sleep scheduling algorithm. …”
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Large-Screen Interactive Imaging System with Switching Federated Filter Method Based on 3D Sensor by Lei Yu, Junyi Hou

“…This paper systematically addresses these issues by a switching federated filter method that combines particle filtering and Mean Shifting algorithms based on a 3D sensor. …”
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Searching for Similar Subgraphs in an Unweighted Undirected Graph by Computing Isomorphic Path Sets by Valentin Sysoev, Aleksandr Bykov

“…Existing methods and approaches currently rely on searching for isomorphic subgraphs, including intermediate results, which does not allow for finding subgraphs based on a common part with the target graph in the form of a partial graph. The presented algorithm operates based on constructing and analyzing path sets of graphs, using original algorithms for constructing a path skeleton and an iterative algorithm for finding the shortest paths between two vertices. …”
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Interface Design and Optimization Methods of Government Websites from a Flat Perspective by Wenyan Zhong, Ming Liu

“…Based on flat design elements, the particle swarm algorithm (PSO) algorithm in the established framework realizes the design and optimization of government websites. …”
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Low-Injury Rubber Tapping Robots: A Novel PSO-PID Approach for Adaptive Depth Control in <i>Hevea Brasiliensis</i> by Ruiwu Xu, Yulan Liao, Junxiao Liu, Zhifu Zhang, Xirui Zhang

“…It enhances the inertia weight of the particle swarm by introducing adaptive inertia weight, solving the shortcomings of the traditional PSO algorithm, such as insufficient local search ability and early convergence. …”
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Statistics of Smoke Sphericity and Optical Properties Using Spaceborne Lidar Measurements by Natalie Midzak, John E. Yorks, Jianglong Zhang

“…A supplemental smoke aerosol typing algorithm was developed to identify aerosol layers containing non-spherical smoke particles, which might otherwise be misclassified as desert dust, polluted dust, or dusty marine by the CALIOP standard aerosol typing algorithm. …”
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Hybrid optimization for sustainable design and sizing of standalone microgrids integrating renewable energy, diesel generators, and battery storage with environmental consideration... by Mohd Bilal, Pitshou N. Bokoro, Gulshan Sharma

“…This study proposes the Hybrid Particle Whale Optimization Algorithm (HPWOA), combining Particle Swarm Optimization (PSO) and Whale Optimization Algorithm (WOA), to overcome the convergence issues of traditional methods. …”
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Optimization of external container delivery and pickup scheduling based on appointment mechanism. by Pengfei Huang, Hao Wang, Fangjiao Tan, Yuyue Jiang, Jinfen Cai

“…Furthermore, by integrating Particle Swarm Optimization (PSO), the algorithm intelligently tunes the pheromone and heuristic factors of ACO, achieving automatic parameter optimization. …”
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Optimizing demand charge of data center base on PE method by Yan HUANG, Peng WANG, Gao-hui XIE

“…Demand charge and energy charge are the two main components of data center electricity cost,previous re-searches have not take demand charge into consideration.PEDC algorithm was proposed by modeling time slot,work-load,service quality constraint and response time constraint.With PEDC algorithm peak power was decreased by partial execution on the condition of service quality constrai and response time constraint.PE method was executed in the heavy loaded time slots to reduce peak power so as to ize demand charge.Energy charge and total charge were also optimized.By comparing with four algorithms and with accurately predicted,PEDC algorithm can reduce elec-tricity cost by 5.9%~12.7% and improve cluster utilization 1.32 times.…”
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Binary atom search optimisation approaches for feature selection by Jingwei Too, Abdul Rahim Abdullah

“…In the experiment, the BASO with an optimal transfer function that contributes to the best classification performance is presented. The particle swarm optimisation (PSO), binary differential evolution (BDE), binary bat algorithm (BBA), binary flower pollination algorithm (BFPA), and binary salp swarm algorithm (BSSA) are used to evaluate the efficacy and efficiency of proposed approaches in feature selection. …”
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An accelerated hybrid framework for stochastic simulations of reaction–diffusion epidemic models by Zaib Un Nisa Memon, Katrin Rohlf

“…This paper presents a novel hybrid stochastic algorithm to simulate such models. Unlike existing hybrid methods, which are based on spatial coupling, our method temporally couples reactive multiparticle collision (RMPC) dynamics—a particle-based method—and the inhomogeneous stochastic simulation algorithm (ISSA)—a compartment-based method. …”
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A Single-Way Ranging Localization of AUVs Based on PSO of Outliers Elimination by Xinnan Fan, Zhongjian Wu, Jianjun Ni, Chengming Luo

“…The single-way range measurements do not depend on water quality and can be taken from long distances; however, there are some limitations which exist in these measurements, such as the disturbance of the unknown current velocity and the outliers caused by sensors and errors of algorithm. To deal with these problems, an AUV self-localization algorithm based on particle swarm optimization (PSO) of outliers elimination is proposed, which improves the performance of angle of arrival (AOA) localization algorithm by taking account of effects of the current on the positioning accuracy and eliminating possible outliers during the localization process. …”
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Research on the Movement Patterns of Bed-load Streaky Structure Transport and the Mechanism of Fluid-solid Coupling by YAO Jiateng, XIE Xiaoxi, WANG Hao, ZHAO Lin, XIE Haonan, ZHEN Rongtian

“…Based on the located centroids and vector velocities of bedload particles, the Kalman filter algorithm was employed to calculate both measured and predicted values under the given conditions. …”
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