Application of Hybrid Algorithm with Large Data in Wind Farm Modeling by GUO Min, ZHAO Qiao-e, GAO Jin-cheng, ZHOU Bin-long

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Optimization of Urban Fire Emergency Resource Allocation Based on Pre-Allocated Swarm Algorithm by Xiaolei Zhang, Kaigong Zhao, Shang Gao, Changming Li

“…Additionally, a pre-allocated bee swarm algorithm is introduced to mitigate the issue of local incident points being unable to participate in rescue due to low weights, and a comparison of traditional genetic algorithms and particle swarm optimization algorithms is conducted. …”
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Adaptive image encryption approach using an enhanced swarm intelligence algorithm by Sachin Minocha, Suvita Rani Sharma, Birmohan Singh, Amir H. Gandomi

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RETRACTED ARTICLE: Intelligent power management based on multi-objective cost function for plug-in biogas hybrid vehicles under uncertain driving conditions by Sameh Abd-Elhaleem, Walaa Shoeib, Abdel Azim Sobaih

Subjects: “…Improved generalized particle swarm optimization algorithm…”
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Load optimization of cogeneration units based on intuitive multi-objective fish swarm algorithm by Xueqiang Shen, Jiaxin Wang

“…This study addresses the multi-objective optimization challenges in seasonal heat-power load distribution for cogeneration units by proposing a multi-objective artificial fish swarm algorithm based on intuitionistic fuzzy entropy (IFEMOAFSA). …”
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Nonlinear Blind Source Separation Algorithm Using Glowworm Swarm Optimization with Baffle Effect by Pubo Huang, Yu Wei

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Short-Term Power Load Forecasting Method based on Glowworm Swarm Optimization Algorithm by Haihong FAN

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Multi objective moth swarm algorithm for optimizing electric vehicle integration in distribution grids by Masoumeh Azadikhouy

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Large-scale multiobjective competitive swarm optimizer algorithm based on regional multidirectional search by Xuenan Zhang, Debao Chen, Fangzhen Ge, Feng Zou, Lin Cui

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Retracted: An Enhanced Hybrid Glowworm Swarm Optimization Algorithm for Traffic-Aware Vehicular Networks by Pratima Upadhyay, Venkatadri Marriboina, Shiv Kumar, Sunil Kumar, Mohd Asif Shah

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Comparing Strategies for Optimal Pumps as Turbines Selection in Pressurised Irrigation Networks Using Particle Swarm Optimisation: Application in Canal del Zújar Irrigation Distric... by Mariana Akemi Ikegawa Bernabé, Miguel Crespo Chacón, Juan Antonio Rodríguez Díaz, Pilar Montesinos, Jorge García Morillo

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A memetic algorithm for high‐strength covering array generation by Xu Guo, Xiaoyu Song, Jian‐tao Zhou, Feiyu Wang, Kecheng Tang, Zhuowei Wang

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Retracted: Application of Swarm Intelligence Optimization Algorithm in Logistics Delivery Path Optimization under the Background of Big Data by Journal of Function Spaces

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Implementation ofVision PSOFastSLAM Algorithm for Unmanned Aerial Vehicles in Mine Environment by LIU Shu-chi, YANG Wei

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The Application of Compound Control Algorithm in Photovoltaic System MPPT by WANG Shenghui, LI Yilun, ZHENG Hong, GAO Shan

“…Aiming at the problem that the output array exhibits multipeak characteristics when the PV array is partially shaded or unevenly illuminated, the traditional singlepeak MPPT algorithm is difficult to track the maximum power point A hybrid algorithm is proposed to improve the particle swarm combined with the sliding mode search Firstly, the probability judgment criterion of improved simulated annealing algorithm is introduced into the standard particle swarm optimization algorithm; the law of inertia weight change is improved; the disturbance parameter is added to the learning factor Secondly, using the sliding mode extreme value search algorithm, the suspected optimal value obtained by the particle swarm optimization algorithm is continuously optimized, and finally the maximum power point is found The simulation results show that the composite control algorithm can track the maximum power point quickly and accurately under different shadow conditions, and avoid the system falling into the local optimum value…”
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Efficacy of swarm-based neural networks in automated depression detection by Alwan Atta, Dina ElSayad, Doaa Ezzat, Safaa Amin, Mahmoud ElGamal

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Multi-objective cloud workflow scheduling algorithm based on grid variance by Xiaoan BAO, Yundi CAO, Na ZHANG, Junyan QIAN, Jianwen CAO

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A Methodology to Characterize an Optimal Robotic Manipulator Using PSO and ML Algorithms for Selective and Site-Specific Spraying Tasks in Vineyards by Roni Azriel, Oded Degani, Avital Bechar

“…The simulation tool was developed using the Gazebo simulator and ROS software to evaluate potential robotic configurations within a simulated vineyard. Particle Swarm Optimization (PSO) was employed as the optimization algorithm in a finite solution space, with the performance measure based on maximizing the Manipulability Index of manipulator configurations reaching all targets. …”
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Review of Swarm Intelligence for Solving Symmetric Traveling Salesman Problem by Awaz Ahmad Shaban, Jayson A. Dela Fuente, Merdin Shamal Salih, Resen Ismail Ali

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A Path Planning Method for AGV Based on Improved PSO-PIO Algorithm by QIN Chang-li, ZHANG Hua-qiang, LIU Lin, CHEN Yu, SU Qing-hua

“…In order to solve the problem of particle swarm optimization algorithm easily falling into local optimum in global path planning, according to the related theories of particle swarm optimization algorithm and pigeon-inspired optimization algorithm, the influencing factors that lead to particle swarm optimization algorithm falling into local optimum are analyzed, and the size of raster in two-dimensional raster map is determined according to the minimum turning radius of automatic guided vehicle.The particle swarm optimization is improved and combined with the fast convergence ability of pigeon-inspired optimization algorithm, and a two-stage hybrid optimization algorithm based on improved particle swarm optimization and pigeon-inspired optimization algorithm is proposed for global path planning. …”
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