基于改进遗传算法的梯级橡胶坝调度优化  

Scheduling Optimization of Cascade Rubber Dam Based on Improved Genetic Algorithm

作　　者：邓浩 郝瑞霞[1] DENG Hao;HAO Ruixia(College of Water Resources Science and Engineering,Taiyuan University of Technology,Taiyuan 030024,China)

机构地区：[1]太原理工大学水利科学与工程学院

出　　处：《人民黄河》2020年第3期150-154,共5页Yellow River

摘　　要：为解决城市河道中梯级橡胶坝的优化调度问题,求解出较为合理的塌坝泄流方案,保障河道行洪安全,根据橡胶坝塌坝泄流计算原理,以限定时间范围内最小泄流量为目标函数,建立梯级橡胶坝调度优化模型,并采用线性加速选择函数与改进的自适应交叉、变异函数,改进传统遗传算法(GA),进行模拟运算,求解最优塌坝方案。改进的遗传算法(IGA)收敛速度快、稳定性强、程序运算时间短,能高效精确地计算出符合客观实际要求的梯级橡胶坝优化调度方案,具有一定的工程应用价值。In order to solve the issue of optimal scheduling of cascade rubber dams in urban rivers,a reasonable dam discharge plan was solved to ensure the safety of river flood discharge.According to the calculation principle of rubber dam collapse discharge,the minimum dis⁃charge flow within a limited time range was obtained.For the objective function,cascade rubber dams scheduling optimization model was es⁃tablished,and the linear acceleration selection function,the improved adaptive crossover function and variation function were used to improve the traditional genetic algorithm(GA)and simulated to solve the optimal dam collapse scheme.The improved genetic algorithm(IGA)has fast convergence speed,strong stability and short program operation time.It can efficiently and accurately calculate the optimal scheduling scheme of cascade rubber dams that can meet objective practical requirements and has certain engineering application value.

关 键 词：梯级橡胶坝 最优塌坝方案 调度优化 改进的遗传算法 改进自适应度 

分 类 号：TV644[水利工程—水利水电工程]