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为合理评价并优选滑坡治理方案,采用位置加权向量规划模型和蛙跳算法,研究滑坡治理方案客观自主式智能优化求解算法。使用该方法时,首先确定评价指标的绝对优势度和相对优势度,以此为诱导分量,按照IOWA算子的思想将各评价对象的评价指标重新排序;然后,利用蛙跳算法优化求解评价指标的位置加权向量和评价值向量;最后,对评价值矩阵进行集结,通过向量夹角和最小法求得各评价对象的最优评价值向量。实例计算和对比分析结果表明,该方法与其他优选理论计算结果一致。
In order to reasonably evaluate and optimize the landslide control scheme, the location-based weight vector programming model and leapfrogging algorithm are used to study the objective and autonomous intelligent optimization algorithm of landslide control scheme. When this method is used, the absolute dominance and the relative dominance of the evaluation index are determined first, and then the evaluation index of each evaluation target is reordered according to the IOWA operator. Then, the frog jump algorithm is used to optimize the evaluation index And the vector of evaluation value. Finally, the evaluation value matrix is assembled, and the vector of the best evaluation value of each evaluation object is obtained by the vector angle and the minimum method. The results of example calculation and comparative analysis show that this method is in good agreement with other theoretical results.