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Study on Multi-Objective Optimization of High-Efficiency and Low-NOx Emissions of Power Station Boilers Based on Least Squares Support Vector Machines
Power Generation and Environmental Protection | 更新时间：2025-06-06

    • Study on Multi-Objective Optimization of High-Efficiency and Low-NOx Emissions of Power Station Boilers Based on Least Squares Support Vector Machines

    • “In the field of multi-objective optimization of boiler combustion systems, experts use weighted particle swarm optimization algorithm and MOPSO algorithm to optimize operating parameters, achieving high efficiency and low NOx emissions. MOPSO algorithm has higher optimization efficiency and is more conducive to guiding actual operation.”
    • Power Generation Technology   Vol. 44, Issue 6, Pages: 809-816(2023)

    • DOI：10.12096/j.2096-4528.pgt.22108    

      CLC： TK 227

    • Received：23 February 2023，

      Published：31 December 2023

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  • LIANG Zhongrong,LAN Maowei,ZHENG Guo,et al.Study on Multi-Objective Optimization of High-Efficiency and Low-NOx Emissions of Power Station Boilers Based on Least Squares Support Vector Machines[J].Power Generation Technology,2023,44(06):809-816. DOI： 10.12096/j.2096-4528.pgt.22108.

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