一种改进的花卉授粉全局数值优化算法

2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI:10.1109/DCABES50732.2020.00077

Kezhong Lu, Zongmin Ma, Xiaofei Yang, Hao Zhou

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引用次数: 2

摘要

Yang提出了一种新的仿生算法——花授粉算法(Flower Pollination algorithm, FPA)。FPA算法存在着早熟收敛、精度低等缺点。为此，本文提出了一种改进的花卉授粉算法。IFPA结合了三个方面:采用量子搜索机制的全局授粉、采用DE/rand/1突变的局部授粉和开启维度。实验结果表明，IFPA算法可以加快收敛速度，提高精度。

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An Improved Flower Pollination Algorithm for Global Numerical Optimization

A new bionic algorithm named as Flower Pollination algorithm (FPA) was proposed by Yang. FPA has some shortcomings, such as premature convergence, low precision, et al. So an improved flower pollination algorithm (IFPA) is proposed in this paper. IFPA combines three aspects: global pollination with quantum search mechanics, local pollination with DE/rand/1 mutation, and switch on dimensions. The experimental results show that IFPA can speed up convergence and improve accuracy.

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2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)

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