Abstract
The method which combined the real-coded accelerating genetic algorithm and projection pursuit classification model was applied in optimization for furrow irrigation modes of corn, and a projection pursuit classification model based on real coding based Accelerating Genetic Algorithm was established. With acceleration genetic algorithm to optimize five assessment parameters at the same, different furrow irrigation modes were analyzed and assessed in wind-sand region of western Heilongjiang province to get the best irrigation treatment. The results showed that alternate interval furrow irrigation under middle water level was the irrigation treatment. This result was in accord with that obtained from the grey correlation analysis based on the entropy. It indicated that this evaluation model was effective and feasible, and it could be popularized and applied in other assessments.
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Yongxia, W., Yuyu, Z., Xiaoyan, W. (2012). Optimization of Corn Furrow Irrigation Modes Based on RAGA-PPC Model. In: Liu, C., Wang, L., Yang, A. (eds) Information Computing and Applications. ICICA 2012. Communications in Computer and Information Science, vol 308. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34041-3_78
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DOI: https://doi.org/10.1007/978-3-642-34041-3_78
Publisher Name: Springer, Berlin, Heidelberg
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