预测编号 | 27 | 28 | 29 | 30 | 31 | 32 | 均误差 | |
实际值/t | 6,214,550.78 | 3,870,301.52 | 3,996,678.71 | 3,870,329.96 | 3,997,936.11 | 1,323,495.35 | ||
共轭梯度 | 预测值/t | 3,974,666.99 | 3,696,996.74 | 3,818,352.32 | 3,123,215.19 | 3,911,666.25 | 1,347,706.53 | 0.114 |
绝对误差 | 2,239,883.78 | 173,304.78 | 178,326.39 | 747,114.77 | 86,269.86 | 24,211.18 | ||
相对误差 | 0.36 | 0.045 | 0.045 | 0.19 | 0.022 | 0.018 | ||
粒子群 | 预测值/t | 6,372,013.84 | 3,991,484.66 | 3,996,111.14 | 3,816,832.021 | 3,997,828.50 | 2,041,123.88 | 0.102 |
绝对误差 | 157,463.07 | 121,183.14 | 567.57 | 53,497.95 | 107.61 | 717,628.54 | ||
相对误差 | 0.025 | 0.031 | 0.00014 | 0.014 | 0.0000027 | 0.54 | ||
遗传算法 | 预测值/t | 6,240,055.47 | 4,058,554.98 | 3,996,991.43 | 3,878,358.85 | 3,997,962.30 | 1,848,694.93 | 0.075 |
绝对误差 | 25,504.69 | 188,253.46 | 312.72 | 8028.89 | 26.19 | 525,199.59 | ||
相对误差 | 0.0041 | 0.049 | 0.000078 | 0.0021 | 0.0000066 | 0.40 | ||
带精英策略的非支配排序遗传算法(NSGAII) | 预测值/t | 6,251,313.89 | 4,064,342.57 | 3,997,010.77 | 3,879,803.68 | 3,997,979.93 | 1,464,708.45 | 0.063 |
绝对误差 | 36,763.12 | 194,041.052 | 332.056 | 9473.72 | 43.82 | 141,213.10 | ||
相对误差 | 0.0059 | 0.050 | 0.0000083 | 0.0024 | 0.000011 | 0.11 |