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  1. 61

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

    Published 2025-04-01
    “…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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    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

    Published 2023-12-01
    “…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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    Article
  5. 65

    Improve Particle Swarm Optimization and Differential Evolution Algorithms Using Nash Bargaining Theory by Marziye Dadvar, Hamidreza Navidi, Hamid Haj Seyyed Javadi, Mitra Mirzarezaee

    Published 2025-04-01
    “…<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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  6. 66

    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

    Published 2025-05-01
    “…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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