针对遗传算法用于求解水库优化调度时收敛局部最优解的问题,以葛洲坝水库为例,提出了基于稳态繁殖的遗传算法,并与基本遗传算法做了比较。结果表明,该方法避免了个别种群迅速繁殖及早熟现象,扩大了搜索空间,更好地保持了种群多样性,并使收敛速度加快。 Aiming at the problem of genetic algorithm converging to local optimal solution in reservoir optimal scheduling, genetic algorithm based on steady-state propagation is proposed by taking Gezhouba reservoir as an example and compared with the basic genetic algorithm. The results show that this method avoids the rapid propagation and precocious phenomenon of individual populations, expands the search space, better maintains the population diversity and accelerates the convergence.