说明：  用遗传算法解决通信中的TDOA问题 文件名 program 完成功能 求出在进行account_test次的试验中每一次的最优染色体，并且求出均值MV，和均方误差MSE 文件名 definition_constant( ) 完成功能 对各个常量试验参数进行设定 文件名 main_program 完成功能 完成一次试验的计算 文件名 all_Noise 完成功能 计算TDOA值（由基站所测量的TDOA（受到噪声的干扰）) 文件名 gen_ini_pop_arr 完成功能 产生染色体矩阵pop_arr，矩阵的1，2行为估计的x，y坐标，矩阵的3，4行为0。
(280/5000 Genetic algorithm was used to solve the TDOA problem in communication. The program completion function of file name was used to find the optimal chromosome for each time in the test of account_test, and the mean MV was calculated. And mean square error (MSE filename definition_constant () function to set the constant parameters file name main_program complete function of a test file name all_Noise complete function calculation TDOA value (measured by the base station TDOA (interference) by noise) filename gen_ini_pop_arr chromosome matrix pop_arr completion, 1, 2, behavior of the matrix estimation of x, y coordinates, matrix of 3, 4 ACTS 0.)