According to the characteristics of flatness error evaluation, an improved genetic algorithms based on real coding is proposed.
针对平面度误差计算的特点，提出了一种基于实数编码的改进遗传算法。
For improving the quality of the solutions and the calculation efficiency, the paper improved genetic algorithms, and applied to solve the reactive power optimization in power system.
为提高解的质量与计算效率，对遗传算法做了改进，并将其应用于电力系统无功优化中。
Improved Genetic Algorithms can avoid the defect of reaching the part best value easily by the twice evolution.
改进后的遗传算法通过二次演化能够有效地避免算法中容易陷入局部最优值的缺陷。
And then the OPF model is changed into fuzzy using the flexible restrictions, and is operated on by the improved Genetic Algorithms.
使用基于分布式母线，并考虑经济约束的最优潮流(opf)模型，利用其可伸缩约束条件进行模糊化处理，运用改进遗传算法求解最优潮流。
And then the OPF model is changed into fuzzy using the flexible restrictions, and is operated on by the improved Genetic Algorithms.
使用基于分布式母线，并考虑经济约束的最优潮流(opf)模型，利用其可伸缩约束条件进行模糊化处理，运用改进遗传算法求解最优潮流。
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