Chinese Journal of Ship Research, Volume. 19, Issue 5, 35(2024)
Intelligent airflow control technology for microbubble drag reduction based on improved ant colony optimization algorithm
Figures & Tables(14)
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Table 1. Main dimensions
Table 2. Comparison of the number of algorithm's parameters for multi-modal function optimization problem
View tableView in ArticleTable 2. Comparison of the number of algorithm's parameters for multi-modal function optimization problem
蚁群算法 遗传算法 粒子群算法 参数 符号 参数 符号 参数 符号 蚁群大小 m 种群大小 m 粒子群大小 m 信息启发因子 $ \alpha $ 染色体长度 l 个体学习因子 $ {c}_{1} $ 期望启发因子 $ \beta $ 交叉概率 $ {p}_{\mathrm{c}} $ 社会学习因子 $ {c}_{2} $ 信息挥发因子 $ \rho $ 变异概率 $ {p}_{\mathrm{m}} $ 最大速度系数 $ {v}_{\mathrm{m}} $ 速度惯性权重 $ \mathrm{\omega } $
Table 3. Airflow control effect
View tableView in ArticleTable 3. Airflow control effect
航速 /(m·s−1) 理想最佳气流量 /（L·min−1） 调控最佳气流量 /（L·min−1） 调控误差 /% 调控减阻率 /% 0.73 0.92 0.93 1.1 12.70 0.85 0.85 0.88 3.5 7.82 0.98 0.71 0.72 1.4 6.08
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Tianchen LI, Yan'an ZHOU, Zhiyong PEI, Weiguo WU. Intelligent airflow control technology for microbubble drag reduction based on improved ant colony optimization algorithm[J]. Chinese Journal of Ship Research, 2024, 19(5): 35
Paper Information
Category: Ship Design and Performance
Received: Aug. 9, 2023
Accepted: --
Published Online: Mar. 14, 2025
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