何静, 周鲜成, 李桂梅. 一种新形式的微粒群优化算法[J]. 微电子学与计算机, 2010, 27(10): 117-119.
引用本文: 何静, 周鲜成, 李桂梅. 一种新形式的微粒群优化算法[J]. 微电子学与计算机, 2010, 27(10): 117-119.
HE Jing, ZHOU Xian-cheng, LI Gui-mei. New formal Particle Swarm Optimization Algorithm[J]. Microelectronics & Computer, 2010, 27(10): 117-119.
Citation: HE Jing, ZHOU Xian-cheng, LI Gui-mei. New formal Particle Swarm Optimization Algorithm[J]. Microelectronics & Computer, 2010, 27(10): 117-119.

一种新形式的微粒群优化算法

New formal Particle Swarm Optimization Algorithm

  • 摘要: 提出了一种更为简化的微粒群算法.该算法用相位角的增量代替速度的增量, 通过绘制相位角来确定微粒的位置.用这种新的微粒群算法对大学生综合素质测评体系的权重模型进行优化, 经与标准微粒群算法进行比较, 证明该算法更容易实现, 并且具有更好的全局搜索能力.

     

    Abstract: A more simple PSO algorithm is proposed.In new algorithm, the increment of velocity vector is replaced by an increment of phase angle vector and the positions are decided by the mapping of phase angles.The new algorithm is used to optimize the weight model of college student comprehensive quality evaluation.Compared to standard PSO, the results show that the new algorithm can be conducted easily and has wider overall searching capability.

     

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