基于多目标粒子群算法的渠系优化配水研究
基于多目标粒子群算法的渠系优化配水研究
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LI, Tongshu , HUANG, Rui , SUN, Zhipeng , GUO Shanshan , Kang, YI , HAN, Yu and CHEN, Jian
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Xinxiang City: Chinese Academy of Agricultural Sciences (CAAS) Farmland Irrigation Research Institute Editorial Office of Journal of Irrigation and Drainage
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Xinxiang City: Chinese Academy of Agricultural Sciences (CAAS) Farmland Irrigation Research Institute Editorial Office of Journal of Irrigation and Drainage
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【目的】发展节水高效农业，实现对农田渠系配水的优化。【方法】以水流过渡平稳和输水损失最小作为优化目标，采用多目标粒子群算法建立渠系优化模型，以西北地区西浚灌区干、支两级渠系作为研究对象进行了模型求解，并与回溯搜索法和向量评估遗传算法求解结果进行了比较。【结果】采用多目标粒子群算法得到的渠系配水时间缩短至约11 d，配水总量为205.07万m3，较回溯搜索法和向量评估遗传算法求解得到的渠系配水时间短2~4 d。【结论】多目标粒子群算法在满足双优化目标的基础上，能够贴近实际配水情况并合理地调整流量的时空配置。
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基于多目标粒子群算法的渠系优化配水研究
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TN_cdi_proquest_journals_3098235349
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3098235349
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ISSN
1672-3317
DOI
10.13522/j.cnki.ggps.20190294
