New chaos-particle swarm optimization algorithm by Xiao-bo XU, Kang-feng ZHENG, Dan LI, Bin WU, Yi-xian YANG

“…The original particle swarm optimization (PSO)algorithm has the advantages of fast convergence,but with the shortcoming of premature and local convergence.To overcome this problem,a new chaos-particle swarm optimization algorithm was presented,which was different from the conventional method of replacing pre-particle.Instead,the algorithm in this paper made the motion of particles with characteristics of chaos，so as to make particles move between the state of chaos and stable,and gradually close to the optimal value.The nonlinear dynamics of the proposed Mathematical model are analyzed,and the results of the experiment show that the proposed algorithm can result in encouraging results.…”
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On Particle Swarm Optimization for MIMO Channel Estimation by Christopher Knievel, Peter Adam Hoeher

“…Evolutionary algorithms, in particular particle swarm optimization (PSO), have recently received much attention. …”
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Parallel Swarms Oriented Particle Swarm Optimization by Tad Gonsalves, Akira Egashira

“…The particle swarm optimization (PSO) is a recently invented evolutionary computation technique which is gaining popularity owing to its simplicity in implementation and rapid convergence. …”
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Human Behavior-Based Particle Swarm Optimization by Hao Liu, Gang Xu, Gui-yan Ding, Yu-bo Sun

“…Particle swarm optimization (PSO) has attracted many researchers interested in dealing with various optimization problems, owing to its easy implementation, few tuned parameters, and acceptable performance. …”
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Multiobjective Particle Swarm Optimization Based on Ideal Distance by Shihua Wang, Yanmin Liu, Kangge Zou, Nana Li, Yaowei Wu

“…To solve this problem, we propose a multiobjective particle swarm optimization based on the ideal distance (IDMOPSO). …”
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AN APPLICATION OF FUZZY PARTICLE SWARM OPTIMIZATION FOR CUSTOMER ANALYSIS by Nguyễn Thị Như Na

“…This article presents the application of the Fuzzy Particle Swarm Optimization algorithm for analyzing customer needs. …”
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Convergence-Driven Adaptive Many-Objective Particle Swarm Optimization by Yunfei Yi, ZhiYong Wang, Yunying Shi, Zhengzhuo Song, Binbin Zhao

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Adaptive fractional-order Darwinian particle swarm optimization algorithm by Tong GUO, Ju-long LAN, Yu-feng LI, Shi-wen CHEN

Subjects: “…fractional-orderDarwinian particle swarm optimization…”
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Feature Selection Using Particle Swarm Optimization in Intrusion Detection by Iftikhar Ahmad

“…Evolutionary optimization approach like genetic algorithm (GA) has been used to search the most discriminative subset of transformed features. The particle swarm optimization (PSO) is another optimization approach based on the behavioral study of animals/birds. …”
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Bibliometric Survey on Particle Swarm Optimization Algorithms (2001–2021) by Samuel-Soma M. Ajibade, Adegoke Ojeniyi

“…Particle swarm optimization algorithms (PSOA) is a metaheuristic algorithm used to optimize computational problems using candidate solutions or particles based on selected quality measures. …”
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A Comparison of Selected Modifications of the Particle Swarm Optimization Algorithm by Michala Jakubcová, Petr Máca, Pavel Pech

“…We compare 27 modifications of the original particle swarm optimization (PSO) algorithm. The analysis evaluated nine basic PSO types, which differ according to the swarm evolution as controlled by various inertia weights and constriction factor. …”
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Particle Swarm Optimization Algorithm and Its Application in Image Segmentation by Yu Liyang

“…In order to greatly increase the segmentation accuracy and resilience, this study presents the Particle Swarm Optimization (PSO) technique, which optimizes the segmentation parameters through global search, and K-means in image segmentation for fatty liver level recognition and their optimization strategies. …”
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A Particle Swarm Optimization Variant with an Inner Variable Learning Strategy by Guohua Wu, Witold Pedrycz, Manhao Ma, Dishan Qiu, Haifeng Li, Jin Liu

“…Although Particle Swarm Optimization (PSO) has demonstrated competitive performance in solving global optimization problems, it exhibits some limitations when dealing with optimization problems with high dimensionality and complex landscape. …”
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An improved particle swarm optimization for multilevel thresholding medical image segmentation. by Jiaqi Ma, Jianmin Hu

“…Aiming at the drawbacks of premature convergence of existing optimization algorithms for high-bit depth image segmentation, this paper presents a pyramid particle swarm optimization based on complementary inertia weights (CIWP-PSO), and the Kapur entropy is employed as the optimization objective. …”
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Particle Swarm Optimization-Based Content Delivery Protocol for UAV VAENTs by Yongje Shin, Hyun-Seok Choi, Youngju Nam, Euisin Lee

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Global Particle Swarm Optimization for High Dimension Numerical Functions Analysis by J. J. Jamian, M. N. Abdullah, H. Mokhlis, M. W. Mustafa, A. H. A. Bakar

“…The Particle Swarm Optimization (PSO) Algorithm is a popular optimization method that is widely used in various applications, due to its simplicity and capability in obtaining optimal results. …”
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Research on the Meteorological Prediction Algorithm Based on the CNSS and Particle Swarm Optimization by Li Yang, Meng Zhang, Yunhan Zhang

“…In this study, a meteorological prediction algorithm based on the CNSS and particle swarm optimization is proposed. Aiming at the phenomenon that the particle swarm optimization (PSO) algorithm is prone to slow convergence speed and low optimization accuracy and there is a local optimal but cannot achieve the global optimal, an adaptive Kent chaotic map PSO algorithm is proposed. …”
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Discrete Particle Swarm Optimization with Scout Particles for Library Materials Acquisition by Yi-Ling Wu, Tsu-Feng Ho, Shyong Jian Shyu, Bertrand M. T. Lin

“…To tackle the constrained problem, we propose a discrete particle swarm optimization (DPSO) with scout particles, where each particle, represented as a binary matrix, corresponds to a candidate solution to the problem. …”
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Support Vector Machine Based on Adaptive Acceleration Particle Swarm Optimization by Mohammed Hasan Abdulameer, Siti Norul Huda Sheikh Abdullah, Zulaiha Ali Othman

“…Existing face recognition methods utilize particle swarm optimizer (PSO) and opposition based particle swarm optimizer (OPSO) to optimize the parameters of SVM. …”
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Directional Probability Perceived Nodes Deployment Based on Particle Swarm Optimization by Junguo Zhang, Yutong Lei, Chen Chen, Fantao Lin

“…In this paper, we study the probability model of directional perceived nodes and propose an improved deterministic deployment algorithm based on particle swarm optimization to increase perceived probability. …”
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