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首页> 外文期刊>International Journal of Innovative Computing Information and Control >IMPROVED BIOGEOGRAPHY-BASED OPTIMIZATION ALGORITHM BASED ON HYBRID HIGH-ORDER MOBILITY MODEL
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IMPROVED BIOGEOGRAPHY-BASED OPTIMIZATION ALGORITHM BASED ON HYBRID HIGH-ORDER MOBILITY MODEL

机译：基于混合高阶移动性模型的改进的基于生物地理学的优化算法

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摘要

Biogeography-based optimization algorithm (BBO) realizes the information circulation and sharing by using the species migration among habitats and achieves the global optimization by improving habitat adaptability. Based on the information sharing strategy and the population adaptive migration mechanism of BBO algorithm, six new high-order nonlinear hybrid mobility models are proposed based on the cosine-four order mobility model and cosine-sixteen order mobility model. Simulation experiments are carried out to compare the optimization performances of the proposed hybrid high-order mobility models on the typical function optimization problems. The simulation results and analysis show that the proposed improved BBO algorithm has good optimization performance.
机译：基于生物地理的优化算法（BBO）通过利用栖息地之间的物种迁移实现信息流通和共享，并通过提高栖息地的适应性来实现全局优化。基于BBO算法的信息共享策略和种群自适应迁移机制，基于余弦四阶迁移模型和余弦十六阶迁移模型，提出了六个新的高阶非线性混合迁移模型。通过仿真实验比较了所提出的混合高阶迁移模型在典型功能优化问题上的优化性能。仿真结果和分析表明，改进后的BBO算法具有良好的优化性能。

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  • 作者

    Jiesheng Wang; Jiangdi Song;

  • 作者单位

    National Financial Security and System Equipment Engineering Research Center University of Science and Technology Liaoning No. 185, Qianshan Road, Anshan 114051, P. R. China,School of Electronic and Information Engineering University of Science and Technology Liaoning No. 185, Qianshan Road, Anshan 114051, P. R. China;

    National Financial Security and System Equipment Engineering Research Center University of Science and Technology Liaoning No. 185, Qianshan Road, Anshan 114051, P. R. China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Biogeography-based optimization algorithm; Mobility model; Function optimization;

    机译：基于生物地理的优化算法;流动性模型;功能优化;

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