program.m

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

% MAIN PROGRAM

account_test = 10;
GLOBAL_BEST = zeros(4,account_test);

for j = 1:1:account_test
    j
    [Global_best, Max_Generation] = main_program;
    for i = 1:1:4
        GLOBAL_BEST(i, j) = Global_best(i, Max_Generation);
    end
    
end
GLOBAL_BEST

% 计算试验所得的平均估计坐标MV
MV = [0.0, 0.0];
for i = 1:1:2
    for j = 1:1:account_test
        MV(i) = MV(i) + GLOBAL_BEST(i, j);
    end
end
MV = MV/account_test

% 计算试验所得的均方误差MSE

MSE = 0.0;
for j = 1:1:account_test
    MSE = MSE + (GLOBAL_BEST(1, j) - 1)^2 + (GLOBAL_BEST(2, j) - 2.5)^2;
end
MSE = MSE/account_test