粒子群算法在农业工程优化设计中的应用

    Application of improved particle swarm algorithm in optimization design of agricultural engineering

    • 摘要: 运用改进型粒子群算法对农村的两个应用实例,农村泵房钢结构数学模型和农村电站无功补偿优化数学模型进行了优化计算,采用MATLAB语言编制了泵房钢结构优化、配电网络无功补偿的计算机仿真程序。通过两个实例的计算机仿真,优化后的泵房钢结构质量比原设计减少了27.37%;有效地搜寻到电站无功补偿费用最低的优化补偿点,结果符合实际应用情况,表明粒子群算法应用于农业工程优化设计计算切实可行,为复杂的农业工程优化设计问题提供了新的思路和方法。

       

      Abstract: Improved particle swarm algorithms are used in two rural practical optimization examples. Models of rural pump house steel structure and rural electrical station var compensator are developed. Simulation with MATLAB program are made in the two models. The simulation results show that the optimized pump house steel structure weighs 27.37% than original one does and minimum costs of electrical station var compensator are realized. The algorithms are practical in agricultural engineering and provide new ways for solving similar complicated agricultural engineering optimization problems.

       

    /

    返回文章
    返回