改进遗传算法在支护结构优化设计中的应用

Application of a modified genetic algorithms in optimal design of supporting structure in deep excavations

研究了利用遗传算法对支护结构优化设计的方法 .在普通遗传算法的基础上 ,提出了加入小生境技术和保留最佳个体策略的选择方法的改进遗传算法 .利用实例证明了 ,改进遗传算法比普通遗传算法具有更好的收敛性 ,可以提高遗传算法的可靠性及效率 .

It turned out that the modified genetic algorithms is more excellent than the common genetic algorithms in the optimal design of deep excavations , by means of the practical engineering , it can acquire a prefect result. This modified genetic algorithms can not only avoid developing prematurity and running into the local optimal value, but also expedite the convergence , decrease the run-time and enhance the operation efficiency.