翟淑花, 高谦. 2015: 基于进化算法的地下采场参数优化设计. 工程地质学报, 23(s1): 699-705. DOI: 10.13544/j.cnki.jeg.2015.s1.107
    引用本文: 翟淑花, 高谦. 2015: 基于进化算法的地下采场参数优化设计. 工程地质学报, 23(s1): 699-705. DOI: 10.13544/j.cnki.jeg.2015.s1.107
    ZHAI Shuhua, GAO Qian. 2015: DESIGN AND OPTIMIZATION OF STOPE PARAMETERS BASED ON EVOLUTIONARY ALGORITHM. JOURNAL OF ENGINEERING GEOLOGY, 23(s1): 699-705. DOI: 10.13544/j.cnki.jeg.2015.s1.107
    Citation: ZHAI Shuhua, GAO Qian. 2015: DESIGN AND OPTIMIZATION OF STOPE PARAMETERS BASED ON EVOLUTIONARY ALGORITHM. JOURNAL OF ENGINEERING GEOLOGY, 23(s1): 699-705. DOI: 10.13544/j.cnki.jeg.2015.s1.107

    基于进化算法的地下采场参数优化设计

    DESIGN AND OPTIMIZATION OF STOPE PARAMETERS BASED ON EVOLUTIONARY ALGORITHM

    • 摘要: 采场参数智能优化设计是地下开采设计的发展方向, 为此提出了一种基于进化算法和正交数值分析法相结合的采场结构参数设计方法。首先采用正交数值模拟法建立不同结构参数组合下的三维数值模型, 利用遗传规划获得待优化结构参数与岩移约束指标之间的非线性函数表达式, 借助于遗传算法确定采场结构参数优化指标。通过实际应用表明:该方法是一种采场结构参数智能优化的新方法, 具有较高的实用价值。

       

      Abstract: It is the important research direction to realize intelligent optimization design in underground mining.so, this paper present a method to optimize stope parameters based on the combining of evolutionary algorithm, orthogonal test and FLAC3D.Firstly, three dimension model of stope with different parameters are established by orthogonal-simulation, then, genetic programming is used to obtain the nonlinear relationship between displacement index and stope parameters, finally, the optimization parameters are gained by means of genetic algorithm. Engineering application shows that this method is a fast optimization of stope parameter, which has good practical value.

       

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