基于改进量子遗传算法的模型交互修正方法
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向胜涛,王达
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Model interactive modification method based on improved quantum genetic algorithm
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Sheng-tao XIANG,Da WANG
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| 表 1 GA、QGA、IQGA算法的优化结果对比 |
| Tab.1 Comparison of GA, QGA, IQGA algorithm optimization results |
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| 函数 | 算法 | 最优搜索值 | 均值 | 最优理论值 | | $ {f_1} $ | GA | 0.999 688 | 0.991 051 | 1 | | ${f_1} $ | QGA | 0.999 754 | 0.992 084 | 1 | | ${f_1} $ | IQGA | 0.999 991 | 0.999 112 | 1 | | $ {f_2} $ | GA | 0.240 051 | 0.239 887 | 0.240 035 | | ${f_2} $ | QGA | 0.240 001 | 0.238 129 | 0.240 035 | | $ {f_2}$ | IQGA | 0.240 035 | 0.239 911 | 0.240 035 |
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