人工蜂群算法在暴雨强度公式参数优化中的应用

Application of Artificial Bee Colony Algorithm in the Optimization of Rainstorm Intensity Formula Parameter

暴雨强度公式作为计算雨水排水设计流量的根本依据,会对排水工程的投资预算以及可靠性产生直接的影响。因此,编制各地的暴雨强度公式具有重要的现实意义。将人工蜂群算法应用于暴雨强度公式参数的优化,并将其计算结果与遗传算法的计算结果进行了比较。试验结果表明:人工蜂群算法可以成功用于暴雨强度公式的参数优化,相对于遗传算法,人工蜂群算法有效地克服了早熟收敛,更容易收敛到全局最优解。

The rainstorm intensity formula as the basis for design and calculation of the flow of rainwater drainage, will have direct impact on the investment budget and reliability of drainage project. Therefore, the rainstorm intensity formula has important practical significance for all regions. The artificial bee colony algorithm is applied to the optimization of the rainstorm intensity formula parameters, and the calculation results and the results of genetic algorithm are compared. The test results show that： artificial bee colony algorithm can be successfully used to optimize the parameters of rainstorm intensity formula, compared with the genetic algorithm, artificial bee colony algorithm effectively overcomes the premature convergence, and is more likely to converge to the global optimal solution.