Chaotic fruit fly optimization algorithm

被引：8

作者：

Lei, Xiujuan ^{[1
,2
]}

Du, Mingyu ^{[1
]}

Xu, Jin ^{[2
]}

Tan, Ying ^{[2
]}

机构：

[1] School of Computer Science, Shaanxi Normal University, Xi’an

[2] School of Electronics Engineering and Computer Science, Peking University, Beijing

来源：

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2014年 / 8794卷

基金：

中国国家自然科学基金;

关键词：

Fruit fly optimization; Function optimization; Logistic chaos;

D O I：

10.1007/978-3-319-11857-4_9

中图分类号：

学科分类号：

摘要：

Fruit fly optimization algorithm (FOA) was a novel swarm intelligent algorithm inspired by the food finding behavior of fruit flies. Due to the deficiency of trapping into the local optimum of FOA, a new fruit fly optimization integrated with chaos operation (named CFOA) was proposed in this paper, in which logistic chaos mapping was introduced into the movement of the fruit flies, the optimum was generated by both the best fruit fly and the best fruit fly in chaos. Experiments on single-mode and multi-mode functions show CFOA not only outperforms the basic FOA and other swarm intelligence optimization algorithms in both precision and efficiency, but also has the superb searching ability. © Springer International Publishing Switzerland 2014.

引用

页码：74 / 85

页数：11

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