遗传算法与最小二乘法拟合函数比较的C/C++代码实现

[generation number] [best value] [average fitness] [standard deviation] 1, 0.503472, 0.499983, 0.000843 2, 0.503904, 0.500008, 0.000866 3, 0.503904, 0.500146, 0.000874 4, 0.503904, 0.500275, 0.000771 5, 0.503904, 0.500140, 0.000490 6, 0.504943, 0.500090, 0.000764 7, 0.504943, 0.499996, 0.001255 8, 0.505522, 0.500098, 0.001730 9, 0.508039, 0.500039, 0.002081 10, 0.510284, 0.500064, 0.001932 11, 0.510562, 0.500248, 0.002908 12, 0.510562, 0.500259, 0.002588 13, 0.510562, 0.500159, 0.000786 14, 0.510562, 0.500287, 0.001506 15, 0.510562, 0.500069, 0.000469 16, 0.510562, 0.500201, 0.001281 17, 0.510562, 0.500425, 0.002043 18, 0.510562, 0.500563, 0.002168 19, 0.510562, 0.500237, 0.001240 20, 0.510562, 0.500491, 0.001976 21, 0.510562, 0.500361, 0.001382 22, 0.510562, 0.500334, 0.001336 23, 0.510562, 0.500594, 0.002009 24, 0.510562, 0.500659, 0.001781 25, 0.510591, 0.500683, 0.001831 26, 0.510591, 0.500657, 0.001947 27, 0.510591, 0.500531, 0.001743 28, 0.510591, 0.500695, 0.001992 29, 0.510591, 0.500932, 0.002529 30, 0.510767, 0.500649, 0.002017 31, 0.510767, 0.500765, 0.002457 32, 0.510767, 0.500523, 0.001887 33, 0.510767, 0.500186, 0.001315 34, 0.510767, 0.499997, 0.000458 35, 0.510767, 0.500164, 0.001197 36, 0.510767, 0.500268, 0.001565 37, 0.510767, 0.500656, 0.002391 38, 0.515604, 0.500053, 0.000657 39, 0.515604, 0.500230, 0.001758 40, 0.515604, 0.500268, 0.001717 41, 0.515604, 0.500484, 0.002465 42, 0.515604, 0.500436, 0.002412 43, 0.531466, 0.501997, 0.006505 44, 0.547132, 0.500939, 0.004166 45, 0.547132, 0.501379, 0.005443 46, 0.547132, 0.500790, 0.005028 47, 0.547132, 0.499989, 0.000224 48, 0.547132, 0.500010, 0.000180 49, 0.547132, 0.500950, 0.006632 50, 0.587397, 0.501654, 0.012342 51, 0.587397, 0.500100, 0.001027 52, 0.587397, 0.500164, 0.000856 53, 0.587397, 0.501960, 0.012304 54, 0.587397, 0.501365, 0.007717 55, 0.587397, 0.500970, 0.006007 56, 0.587397, 0.500093, 0.001866 57, 0.587397, 0.501964, 0.012316 58, 0.587397, 0.502991, 0.014202 59, 0.587397, 0.502887, 0.013447 60, 0.587397, 0.501149, 0.008835 61, 0.587397, 0.501980, 0.012329 62, 0.587397, 0.500980, 0.008736 63, 0.587397, 0.500126, 0.000357 64, 0.587397, 0.500081, 0.000271 65, 0.587397, 0.500090, 0.000371 66, 0.587397, 0.500986, 0.008739 67, 0.587397, 0.500832, 0.005446 68, 0.587397, 0.502283, 0.012905 69, 0.587397, 0.501784, 0.012295 70, 0.587397, 0.502968, 0.014683 71, 0.587397, 0.500974, 0.008794 72, 0.587397, 0.501060, 0.008760 73, 0.587397, 0.504051, 0.017712 74, 0.598283, 0.503779, 0.018866 75, 0.608234, 0.504006, 0.019640 76, 0.610101, 0.502249, 0.014252 77, 0.610101, 0.502344, 0.014227 78, 0.610101, 0.502138, 0.015522 79, 0.610101, 0.500884, 0.011095 80, 0.610101, 0.499811, 0.000948 81, 0.610101, 0.499975, 0.000269 82, 0.610101, 0.501193, 0.011028 83, 0.610101, 0.502871, 0.016716 84, 0.612064, 0.506480, 0.026126 85, 0.612486, 0.502369, 0.016075 86, 0.612486, 0.500997, 0.011286 87, 0.612486, 0.502460, 0.015815 88, 0.612486, 0.502896, 0.015779 89, 0.612486, 0.504967, 0.020152 90, 0.612486, 0.501321, 0.009730 91, 0.612486, 0.502361, 0.012363 92, 0.612486, 0.503911, 0.019489 93, 0.612486, 0.503100, 0.017847 94, 0.612486, 0.502976, 0.016025 95, 0.613887, 0.508566, 0.027628 96, 0.613887, 0.505147, 0.022511 97, 0.613887, 0.503444, 0.018023 98, 0.613887, 0.505179,