An Improved Flower Pollination Algorithm for Global Numerical Optimization

Kezhong Lu,Zongmin Ma,Xiaofei Yang,Hao Zhou

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

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摘要

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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关键词

DE mutation,improved flower pollination algorithm,quantum search mechanics

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