Výsledky vyhledávání - "improved multi–objective particle swarm optimization algorithm"

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  1. 1

    Reactive power optimization for distribution network system with wind power based on improved multi-objective particle swarm optimization algorithm Autor Honghai, Kuang, Fuqing, Su, Yurui, Chang, Kai, Wang, Zhiyi, He

    ISSN: 0378-7796, 1873-2046
    Vydáno: Elsevier B.V 01.12.2022
    Vydáno v Electric power systems research (01.12.2022)
    “…•In the multi-objective particle swarm optimization algorithm, the adaptive mesh is introduced to reflect the density of particles, and according to the…”
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    Journal Article
  2. 2

    Integrated Optimization on Double-Side Cantilever Yard Crane Scheduling and Green Vehicle Path Planning at U-Shaped Yard Autor Peng, Wenhao, Wang, Dujuan, Qiu, Huaxin, Chu, Feng, Yin, Yunqiang

    ISSN: 1524-9050, 1558-0016
    Vydáno: IEEE 01.03.2025
    “…The U-shaped yard is an important part of the U-shaped automated container terminal (U-ACT), which consists of a set of blocks used for storing containers,…”
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    Journal Article
  3. 3

    A new online optimization method for boiler combustion system based on the data-driven technique and the case-based reasoning principle Autor Xu, Wentao, Huang, Yaji, Song, Siheng, Chen, Yuzhu, Cao, Gehan, Yu, Mengzhu, Chen, Bo, Zhang, Rongchu, Liu, Yuqing, Zou, Yiran

    ISSN: 0360-5442
    Vydáno: Elsevier Ltd 15.01.2023
    Vydáno v Energy (Oxford) (15.01.2023)
    “…To adapt to the time-variability of boiler combustion systems, a new online combustion optimization method for boiler is proposed in this paper. The massive…”
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  4. 4

    Optimization of Hydropower Unit Startup Process Based on the Improved Multi-Objective Particle Swarm Optimization Algorithm Autor Zhang, Qingquan, Xie, Zifeng, Lu, Mingming, Ji, Shengyang, Liu, Dong, Xiao, Zhihuai

    ISSN: 1996-1073, 1996-1073
    Vydáno: Basel MDPI AG 01.09.2024
    Vydáno v Energies (Basel) (01.09.2024)
    “…In order to improve the dynamic performance during the startup process of hydropower units, while considering the efficient and stable speed increase and…”
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  5. 5

    Structural Design of Aerostatic Bearing Based on Multi-Objective Particle Swarm Optimization Algorithm Autor Ye, Biqing, Yu, Guixin, Zhang, Yidong, Li, Gang

    ISSN: 2076-3417, 2076-3417
    Vydáno: Basel MDPI AG 01.03.2023
    Vydáno v Applied sciences (01.03.2023)
    “…Aerostatic bearings are considered crucial components that can improve the measurement accuracy of ground simulation tests of space equipment. A structural…”
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  6. 6

    A Collaborative Resequencing Optimization Method for Multi-stage Automotive Production Line Considering Emergency order Autor Zhang, Jing, Li, Congbo, Tang, Ying, Yang, Miao, Zhao, De

    ISSN: 2577-1655
    Vydáno: IEEE 09.10.2022
    “…In multi-stage automotive production lines (MSAPLs), unforeseen disturbance events such as emergency order can disturb the initial production plan, leading to…”
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  7. 7

    Optimization of Received Signal Strength in Wireless Underground Sensor Networks Based on Chaotic Multi-Objective Particle Swarm Optimization Algorithm Autor Wang, Yu, Xin, Mengran

    ISSN: 2770-663X
    Vydáno: IEEE 27.09.2024
    “…The transmission characteristics of electromagnetic wave signals in farmland soil had been found to be quite complex, making it difficult to identify suitable…”
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  8. 8

    A bi-level multi-objective planning method for microgrid with offshore wind power Autor Du, Xinye, Sun, Yonghui, Wang, Jianxi, He, Yi, Wu, Pengpeng, Cui, Guiyang

    Vydáno: IEEE 27.05.2022
    “…The anti-peak characteristics of offshore wind power makes the large-scale offshore wind power cluster integration have a great negative impact on the power…”
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  9. 9

    Node Sensitivity Analysis Method for Power Quality Control of High Proportion Distributed Photovoltaic Access Distribution Network Autor Lei, Zhou, Feng, Wang, Xutao, Li, Min, Liu, Hanhua, Zhang

    Vydáno: IEEE 27.08.2021
    “…Composite energy storage device is an effective method to solve series power quality problems caused by the excessive proportion of decentralized photovoltaic…”
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