改进的遗传算法在水库调度中的应用

为了改善遗传算法在水库优化调度中的应用效果,采用自适应遗传算法和广度变异模块相结合的分层收敛算法:第一层采用广度变异和外部存档的方式改善种群的多样性;第二层嵌套广度变异模块,并采用自适应遗传算法进行全局搜索。通过比较自适应遗传算法和分层进化算法,结果显示:基于遗传算法的分层算法具有高效的全局搜索能力,避免了自适应遗传算法陷入局部最优的缺陷,在一定收敛条件下得到了更接近全局最优的目标值。

Application of Improved Genetic Algorithm in Reservoir Optimal Operation

To improve the solution searching efficiency of genetic algorithm in the optimization of reservoir operation,a hierarchy evolution algorithm with a deep mutation and adaptive genetic algorithm was introduced.First hierarchy adopted deep mutation and external archive to enhance diversity of population;and second hierarchy inserted deep mutation and adopted adaptive genetic algorithm to search global optimal solution.The results of application in reservoir operation using respectively the adaptive genetic algorithm combing deep mutation and the hierarchy algorithm were compared,which showed that the new algorithm yielded a better result.The new algorithm has efficient global searching ability,and effectively avoided sinking into local optimal and further.Finally,the research has obtained a better global optimal solution under a certain convergence criterion.