A Hybrid Adaptive Particle Swarm Optimization Algorithm for Enhanced Performance by Zhengfeng Jiang, Daoheng Zhu, Xiao-Yu Li, Ling-Bo Han

Subjects: “…particle swarm optimization algorithms…”
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A Dynamic State Cluster-Based Particle Swarm Optimization Algorithm by Zhenya Diao, Fei Yu, Hongrun Wu, Xuewen Xia

“…To address these limitations, this paper introduces a dynamic state cluster-based particle swarm optimization (DSCPSO) algorithm, which employs population phenotypic entropy based on clustering technique. (1) The algorithm provides theoretical splitting points by mathematically analyzing the population into four states: convergence, exploitation, escape, and exploration, enabling more effective parameter adaptive mechanisms. (2) DSCPSO incorporates sinusoidal chaos mapping to dynamically adjust inertia weights, allowing particles to better align with the population’s evolutionary state. (3) During the convergence state, an intelligent particle migration strategy (IPMS) enhances search efficiency within the solution space, preventing unnecessary computational resource consumption. …”
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Research on hybrid strategy Particle Swarm Optimization algorithm and its applications by Jicheng Yao, Xiaonan Luo, Fang Li, Ji Li, Jundi Dou, Hongtai Luo

Subjects: “…Particle Swarm Optimization algorithm…”
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Search Guidance Network Assisted Dynamic Particle Swarm Optimization Algorithm by LIU Zhi, SONG Wei

“…To this end, a search guidance network-based particle swarm optimization (SGN-PSO) is proposed. …”
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A hybrid particle swarm optimization algorithm for solving engineering problem by Jinwei Qiao, Guangyuan Wang, Zhi Yang, Xiaochuan Luo, Jun Chen, Kan Li, Pengbo Liu

“…Abstract To overcome the disadvantages of premature convergence and easy trapping into local optimum solutions, this paper proposes an improved particle swarm optimization algorithm (named NDWPSO algorithm) based on multiple hybrid strategies. …”
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Detection of Carious Lesions and Restorations Using Particle Swarm Optimization Algorithm by Mohammad Naebi, Eshaghali Saberi, Sirous Risbaf Fakour, Ahmad Naebi, Somayeh Hosseini Tabatabaei, Somayeh Ansari Moghadam, Elham Bozorgmehr, Nasim Davtalab Behnam, Hamidreza Azimi

“…In this paper, we have introduced one intelligent method for detection using particle swarm optimization (PSO) and our mathematical formulation. …”
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Hybridization of the Snake Optimizer and Particle Swarm Optimization for continuous optimization problems by Abdülkadir Pektaş, Mehmet Hacıbeyoğlu, Onur İnan

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The Application Based on Support Vector Machine Optimized by Particle Swarm Optimization and Genetic Algorithm by MAN Chun-tao, LIU Bo, CAO Yong-cheng

Subjects: “…particle swarms optimization algorithm…”
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Hybrid Optimization Algorithm of Particle Swarm Optimization and Cuckoo Search for Preventive Maintenance Period Optimization by Jianwen Guo, Zhenzhong Sun, Hong Tang, Xuejun Jia, Song Wang, Xiaohui Yan, Guoliang Ye, Guohong Wu

“…By making use of the advantages of particle swarm optimization (PSO) and cuckoo search (CS) algorithm, a hybrid optimization algorithm of PSO and CS is proposed to solve the PMPOM problem. …”
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Comparison of Particle Swarm Optimization Algorithms in Hyperparameter Optimization Problem of Multi Layered Perceptron by Kenta Shiomi, Tetsuya Sato, Eisuke Kita

“… This paper describes the application of particle swarm optimization (PSO) for the hyperparameter optimization problem of multi-layered perceptron (MLP) model. …”
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Hybrid Algorithm of Particle Swarm Optimization and Grey Wolf Optimizer for Improving Convergence Performance by Narinder Singh, S. B. Singh

“…A newly hybrid nature inspired algorithm called HPSOGWO is presented with the combination of Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO). …”
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Application of improved particle swarm optimization algorithm combined with genetic algorithm in shear wall design by Wei Gao

“…The improved algorithm is based on the basic framework of genetic algorithm and particle swarm optimization algorithm, first adjusting the inertia weight, and then introducing elimination mechanism and mutation rate control. …”
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Two Kinds of Classifications Based on Improved Gravitational Search Algorithm and Particle Swarm Optimization Algorithm by Hongping Hu, Xiaxia Cui, Yanping Bai

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The Optimum design of arch dam shape using Particle Swarm optimization algorithm by seyed reza mousvi, نادر برهمند, Akbar Ghanbari, Arash Totonchi

“…First, the dam-water-foundation system was simulated using the finite element method. Then the optimization was done using the particle swarm optimization (PSO).…”
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Parallel Feature Selection Algorithm based on Rough Sets and Particle Swarm Optimization by Mateusz Adamczyk

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Localization Algorithm in Wireless Sensor Networks Based on Multiobjective Particle Swarm Optimization by Ziwen Sun, Li Tao, Xinyu Wang, Zhiping Zhou

“…Based on multiobjective particle swarm optimization, a localization algorithm named multiobjective particle swarm optimization localization algorithm (MOPSOLA) is proposed to solve the multiobjective optimization localization issues in wireless sensor networks. …”
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Identification and Estimation of Landslide Erosion Rate Based on Particle Swarm Optimization Algorithm by GENG Haopeng, XU Ziyi, GUO Yu, ZHANG Jian

Subjects: “…particle swarm optimization algorithm…”
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Smart City Landscape Design Based on Improved Particle Swarm Optimization Algorithm by Wenting Yao, Yongjun Ding

“…Aiming at the shortcomings of standard particle swarm optimization (PSO) algorithms that easily fall into local optimum, this paper proposes an optimization algorithm (LTQPSO) that improves quantum behavioral particle swarms. …”
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Multi-point path planning based on the algorithm of colony-particle swarm optimization by Lijue LIU, Shuning LUO, Yan GAO, Meifei CHEN

“…The problem of multi-point path planning is a NP-hard problem,which is equivalent to finding the shortest path of a starting point and some specific node.Aiming at the problem of multi-point path planning,a retrospective ant colony-particle swarm optimization algorithm was proposed.This algorithm used Floyd-Warshall to transform the graph and combined ant colony algorithm and particle swarm algorithm to find the shortest path.The experimental results show that this algorithm can find the precise solution under small data,at the same time,under a large amount of data,can be better than the maximum minimum ant colony algorithm and genetic algorithm.…”
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Multiple R&D Projects Scheduling Optimization with Improved Particle Swarm Algorithm by Mengqi Liu, Miyuan Shan, Juan Wu

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