| Cite this article: | 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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| 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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