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粒子群优化算法在随机分布控制中的应用
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国家自然科学基金（61320106010，61573190，61571014）；江苏省杰出青年基金（BK20140045）；江苏省大学生实践创新训练计划（201410300092x）


Application of particle swarm optimization in stochastic distribution control
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    摘要:

    将粒子群优化算法应用到随机分布系统中，其随机系统控制目标不局限于传统的均值和方差，而是估算某些变量的概率密度函数.该方法能减少基于泛函算子模型的随机分布控制算法在仿真过程中的计算量，避免计算中间变量的概率密度函数，且对模型的要求不高，从而使控制结果更加精确高效.

    Abstract:

    This paper reviews the application of particle swarm in performance optimization for stochastic distribution systems.The control objective is the probability density function,not mean nor variance,which are usually adopted in traditional stochastic control.The proposed method can reduce the computation load,avoid the calculation of probability density functions of some intermediate variables.Moreover,it reduces the dependence on system models,which makes the algorithm more accurate and efficient.

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殷利平,吴珂,朱鹏渭.粒子群优化算法在随机分布控制中的应用[J].南京信息工程大学学报(自然科学版),2016,8(5):429-432
YIN Liping, WU Ke, ZHU Pengwei. Application of particle swarm optimization in stochastic distribution control[J]. Journal of Nanjing University of Information Science & Technology, 2016,8(5):429-432

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  • 收稿日期:2016-03-16
  • 在线发布日期: 2016-10-26

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