【摘要】 针对水电站水库优化调度问题,提出了将改进遗传算法和混沌优化相耦合的改进混沌遗传算法。该算法将混沌变量映射到优化变量的取值范围中,对混沌变量进行编码,表示成染色体,然后对其进行选择、交叉和变异,通过增加混沌扰动,不断进化收敛得到最优解。实例计算并与其他方法比较表明,该算法在求解水电站优化调度这样的复杂非线性优化问题时,搜索效率高,收敛性能好,能以较快的速度收敛于全局最优解,为水电站水库优化调度模型求解提供了一种新方法。更多还原

【Abstract】 As for the optimal operation of hydropower reservoirs,an improved chaotic genetic algorithm(ICGA) was proposed based on the coupling of the improved genetic algorithm and the chaotic optimization algorithm.In ICGA,the chaos variables were mapped to the area of the optimized variables and encoded as the gene on the chromosome.After the chromosomes were selected,crossed and mutated,some disturbance was added to assure the best solutions.The calculated results of a case and a comparison with those of other methods show that the proposed ICGA is of high efficiency of searching ratio and good convergence in solving complex nonlinear problems of the optimal operation of hydropower stations.It is fast and accurate,and it provides a new approach to find the global solution to the optimal operation of hydropower reservoirs.更多还原