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An improved immune algorithm for optimization of irrigational water distribution

机译：优化灌溉水分配的改进免疫算法

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摘要

This paper proposes a novel immune algorithm by integrating local search with multi-swarm immune optimization algorithm to solve the problem of cost optimization in water distribution systems. The objective of this study is to maximize the crop yields by coordinating the distribution of water amongst different kinds of crops, especially for the case of deficit irrigation. In order to prevent premature of the solution, the improved algorithm enhances the global search ability of the antibody groups and divides the swarm into two sub swarms. As verified by the experimental results, the proposed algorithm can coordinate water distribution and has better performance compared with the traditional immune algorithm.
机译：本文提出了一种新颖的免疫算法，将局部搜索与多群免疫优化算法相结合，解决了配水系统的成本优化问题。这项研究的目的是通过协调不同种类作物之间的水分配来最大程度地提高作物产量，特别是在灌溉不足的情况下。为了防止溶液过早，改进的算法增强了抗体组的整体搜索能力，并将该群体分为两个亚群体。实验结果证明，与传统的免疫算法相比，该算法能够协调水的分配，具有更好的性能。

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