中文说明：遗传算法（GA）是通过对自然界中生物的遗传和优胜劣汰的进化过程进行模拟与抽象，进而形成的一种自适应全局随机优化搜索方法。遗传算法只需提供目标函数作为寻优信息，它从某一随机生成的初始群体出发，经过选择、交叉和变异等遗传操作后对个体进行适应度评价，保留适应度较强的个体遗传到子代种群中，经过多次的迭代计算求得最优个体，即问题的最优解。本程序采用遗传算法可求解微网优化运行。
English Description：
Genetic algorithm (GA) is the result of genetic and biological in nature of survival of the fittest evolutionary process simulation and abstract, and an Adaptive global random search method. Genetic algorithms provide a objective function optimization information, which proceed from a randomly generated initial group, after selection, crossover and mutation, and genetic manipulation on individual fitness, retaining fitness stronger individuals genetic progeny populations, through a series of iterative calculations to obtain the best individual, namely the optimal solution. This procedure using a genetic algorithm to solve micro-grid optimization run.