Provided an algorithm for the distribution search and proves the time complexity of the algorithm. This algorithm uses a mathematical formula to search n elements in the sequence of n elements in O(n)expected time,and...Provided an algorithm for the distribution search and proves the time complexity of the algorithm. This algorithm uses a mathematical formula to search n elements in the sequence of n elements in O(n)expected time,and experimental reesult proves that distribution search is superior to binary search.展开更多
为提高水文地质参数求解精度,以2组抽水试验数据为例,引入饥饿搜索(Hunger Games Search,HGS)算法,采用实测降深与模拟降深的离差平方和均值达到最小为目标函数,优化求解泰斯公式导水系数和储水系数,结合评价指标并与多种智能优化算法...为提高水文地质参数求解精度,以2组抽水试验数据为例,引入饥饿搜索(Hunger Games Search,HGS)算法,采用实测降深与模拟降深的离差平方和均值达到最小为目标函数,优化求解泰斯公式导水系数和储水系数,结合评价指标并与多种智能优化算法如黄金正弦算法(Golden Sine Algorithm,Gold-SA)、天鹰优化算法(Aquila Optimizer,AO)、鲸鱼优化算法(Whale Optimization Algorithm,WOA)以及阿基米德算法(Archimedes optimization algorithm,AOA)5种算法的计算结果进行比较。结果表明:HGS算法在地下水参数反演中表现出较好的全局寻优能力和稳健性;相比而言,HGS算法不仅反演精度最高,而且评价指标误差值最小,纳什效率系数值最接近1,综合性能最佳。因此,引入的HGS算法可以有效地提高水文地质参数求解精度的问题,为地下水参数反演提供了一种新的求解方法。展开更多
文摘Provided an algorithm for the distribution search and proves the time complexity of the algorithm. This algorithm uses a mathematical formula to search n elements in the sequence of n elements in O(n)expected time,and experimental reesult proves that distribution search is superior to binary search.
文摘为提高水文地质参数求解精度,以2组抽水试验数据为例,引入饥饿搜索(Hunger Games Search,HGS)算法,采用实测降深与模拟降深的离差平方和均值达到最小为目标函数,优化求解泰斯公式导水系数和储水系数,结合评价指标并与多种智能优化算法如黄金正弦算法(Golden Sine Algorithm,Gold-SA)、天鹰优化算法(Aquila Optimizer,AO)、鲸鱼优化算法(Whale Optimization Algorithm,WOA)以及阿基米德算法(Archimedes optimization algorithm,AOA)5种算法的计算结果进行比较。结果表明:HGS算法在地下水参数反演中表现出较好的全局寻优能力和稳健性;相比而言,HGS算法不仅反演精度最高,而且评价指标误差值最小,纳什效率系数值最接近1,综合性能最佳。因此,引入的HGS算法可以有效地提高水文地质参数求解精度的问题,为地下水参数反演提供了一种新的求解方法。
