Identification and Estimation of Landslide Erosion Rate Based on Particle Swarm Optimization Algorithm by GENG Haopeng, XU Ziyi, GUO Yu, ZHANG Jian

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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

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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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An improved salp swarm algorithm for permutation flow shop vehicle routing problem by Yanguang Cai, Huajun Chen

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An Improved Adaptive Simulated Annealing Particle Swarm Optimization Algorithm for ARAIM Availability by Ershen Wang, Xiaozhu Shi, Xidan Deng, Jing Gao, Wei Zhang, Huan Wang, Song Xu

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Situation Awareness and Tracking Algorithm for Countering Low-Altitude Swarm Target Threats by Nannan Zhu, Fuli Zhong, Xueyue Lei, Guo Niu, Hongtu Xie, Yue Zhang

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Differential protection of distribution network based on 5G and particle swarm algorithm by HAO Hanbing, WANG Tongwen, ZHU Sijie, HOU Zhengquan, HUANG Yuhui

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Parameter identification of photovoltaic inverter based on improved particle swarm optimization algorithm by LUO Jian, SUN Yue, JIANG Lijuan

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An Improved Convergence Particle Swarm Optimization Algorithm with Random Sampling of Control Parameters by Lijun Sun, Xiaodong Song, Tianfei Chen

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Improved salp swarm algorithm-driven deep CNN for brain tumor analysis by Umang Kumar Agrawal, Nibedan Panda, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

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A Particle Swarm Optimization-Guided Ivy Algorithm for Global Optimization Problems by Kaifan Zhang, Fujiang Yuan, Yang Jiang, Zebing Mao, Zihao Zuo, Yanhong Peng

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An efficient swarm evolution algorithm with probability learning for the black and white coloring problem by Zhiqiang Zhang, Li Zhang, Xiujun Zhang

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Review of Software Tools for Working with Evolutionary and Swarm Optimization Methods by Aleksei Nikolashkin, Nikolay Ershov

“…The concept of a population optimization algorithm is formalized and the main classes of algorithms of this type are considered, including evolutionary algorithms, swarm algorithms and multiparticle algorithms. …”
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Distributed Task Allocation for UAV Swarms with Limited Communication by Asım Egemen Yılmaz, Mutullah Eşer

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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

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A novel elite guidance-based social learning particle swarm optimization algorithm by QI Cheng, XIE Junwei, WANG Xue, FENG Weike, ZHANG Haowei

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Coupling of green building construction based on particle Swarm optimizing neural network algorithm by Wang Leigang, Li Shaohua, Wang Liang, Zhang Zheng, Zhou Yuchen, Chang Long

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An Investigation into Path Planning of Underwater Vehicle Based on Improved Particle Swarm Optimization Algorithm by LYU Shiwei, ZHU Yinggu, LU Nibin, LI Xinyang, LIU Hairui

“…Addressing the challenges that unmanned underwater vehicles (UUVs) face in path planning, including complex constraints, unstable optimization algorithm performance, and unsmooth paths, this paper proposes a path planning method using an improved particle swarm optimization (PSO) algorithm. …”
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Improve Particle Swarm Optimization and Differential Evolution Algorithms Using Nash Bargaining Theory by Marziye Dadvar, Hamidreza Navidi, Hamid Haj Seyyed Javadi, Mitra Mirzarezaee

“…<p><span style="font-size: 10.0pt; line-height: 125%; font-family: 'Georgia',serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: Georgia; mso-fareast-theme-font: minor-latin; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: JA; mso-bidi-language: AR-SA;">&nbsp;</span><span style="font-size: 11pt; line-height: 125%; font-family: Calibri, sans-serif;">This article proposes a new approach in solving optimization (issues) problems in which two known optimization algorithm of particle swarm algorithm (PSO) and differential evolution (DE) a cooperate. …”
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An efficient binary salp swarm algorithm for user selection in multiuser MIMO antenna systems by A. Sasikumar, Logesh Ravi, Malathi Devarajan, Abdulaziz S. Almazyad, Shuvodeep De, Guojiang Xiong, Seyed Jalaleddin Mousavirad, Ali Wagdy Mohamed

“…A suitable scheduling mechanism is essential for the various users in an MU-MIMO system to utilise bandwidth and enhance the system’s total rate effectively. In this article, we proposed a user and antenna scheduling with a population-based meta-heuristic approach, namely the binary salp swarm algorithm (binary SSA), to increase the system sum rate with low computing complexity. …”
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