| 引用本文: | 薛萍,刘玲.基于金枪鱼群优化算法的Jensen模型参数求解[J].灌溉排水学报,0,():-. |
| Xue Ping,Liu Ling.基于金枪鱼群优化算法的Jensen模型参数求解[J].灌溉排水学报,0,():-. |
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| 基于金枪鱼群优化算法的Jensen模型参数求解 |
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薛萍, 刘玲
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天津农学院
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| 摘要: |
| 【目的】利用智能优化算法求解Jensen模型参数。【方法】将分布估计引入金枪鱼群优化算法（TSO）中，形成基于分布估计的金枪鱼群优化算法（ITSO）。将改进的基于分布估计的金枪鱼群优化算法（ITSO）与其他算法在CEC2017测试集上进行性能验证，并利用山西潇河灌溉试验站非充分灌溉试验结果对该算法与其他方法求解的精准性进行对比。【结果】①在CEC2017测试集上，对比ITSO、TSO、GWO、WOA、SSA和BOA六种算法的寻优性能，结果表明ITSO算法寻优能力最强。②在山西潇河灌溉试验站非充分灌溉试验结果上分别将ITSO与SPSS软件中非线性回归分析、TSO计算得出的结果进行对比，平均相对误差分别为7.79%、8.13%、和7.79%。TSO算法经过50次迭代后找到最优解，而ITSO算法仅需35次迭代后找到最优解。【结论】基于分布估计的金枪鱼群优化算法（ITSO）求解Jensen模型参数，拟合精度高且寻优速度快。 |
| 关键词: 作物水分生产函数Jensen模型；模型参数求解；分布估计；金枪鱼群优化算法； |
| DOI： |
| 分类号:S274 |
| 基金项目: |
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| Parameter solution of Jensen model based on tuna swarm optimization algorithm |
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Xue Ping, Liu Ling
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Tianjin Agricultural University
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| Abstract: |
| 【Objective】Using intelligent optimization algorithm to solve Jensen model parameters.【Method】Distribution estimation is introduced into the tuna swarm optimization algorithm (TSO) to form a tuna swarm optimization algorithm based on distribution estimation (ITSO).The performance of the improved tuna swarm optimization algorithm based on distribution estimation (ITSO) is verified with other algorithms on CEC2017 test set, The accuracy of the algorithm is compared with that of other methods by using the insufficient irrigation test results of ShanXi XiaoHe Irrigation Test Station.【Result】On CEC2017 test set,the optimization performance of ITSO,TSO,GWO,WOA,SSA and BOA is compared, the results show that the algorithm has the strongest optimization ability. ITSO is compared with the results calculated by nonlinear regression analysis in SPSS software and TSO of ShanXi XiaoHe Irrigation Test Station, and the average relative errors are 7.79%, 8.13% and 7.79% respectively. TSO algorithm finds the optimal solution after 50 iterations, while ITSO algorithm only needs 35 iterations to find the optimal solution.【Conclusion】The tuna swarm optimization algorithm based on distribution estimation (ITSO) solves Jensen model parameters with high fitting accuracy and fast optimization speed. |
| Key words: Jensen model of crop water production function; Model parameter solution; Distribution estimation; Tuna swarm optimization algorithm |
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