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Aiming at the complexity of the simulation model of hydrological process and the accuracy of calibration parameters,a relatively new global optimization algorithm,multi-objective particle swarm optimization(MOPSO)algorithm,was proposed,which defines multiple objective functions and introduces the concept of Pareto frontier solution.The proposed method expands the sampling space and improves the computational speed and robustness of the algorithm.And then,the vertical mixed runoff model is simulated.The application results show that compared with the single-objective algorithm,the multi-objective algorithm can accurately simulate many aspects of the hydrological process and improve the accuracy of the optimization results.
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Basic Information:
DOI：10.20040/j.cnki.1000-7709.2019.06.006
China Classification Code:P334.92
Citation Information:
[1]DU Yan-zhen,SUN Meng-yao,LIU Jia-yi ,et al.Multi-objective Optimization of Parameters of Vertical Mixed Runoff Model Based on MOPSO Algorithm[J].Water Resources and Power,2019,37(06):23-27.DOI:10.20040/j.cnki.1000-7709.2019.06.006.
Fund Information:
国家自然科学基金项目(41202174); 科技部国际科技合作与交流计划项目(2007DFB70200); 高等学校博士学科点专项科研基金资助项目(20123702120020)
2019-06-25
2019-06-25