Improved Artificial Bee Colony Algorithm and its Application in Classification

被引：3

作者：

Wang, Haiquan ^{[1
]}

Wei, Jianhua ^{[2
]}

Wen, Shengjun ^{[1
]}

Yu, Hongnian ^{[3
]}

Zhang, Xiguang ^{[1
]}

机构：

[1] Zhongyuan Univ Technol, Zhongyuan Petersburg Aviat Coll, 41 Zhongyuan Rd, Zhengzhou 450007, Henan, Peoples R China

[2] Zhongyuan Univ Technol, Sch Elect & Informat Engn, 41 Zhongyuan Rd, Zhengzhou 450007, Henan, Peoples R China

[3] Bournemouth Univ, Fac Sci & Technol, Poole BH12 5BB, Dorset, England

来源：

JOURNAL OF ROBOTICS AND MECHATRONICS | 2018年 / 30卷 / 06期

关键词：

artificial bee colony algorithm; classifier; SVM; UCI database; wrapper method;

D O I：

10.20965/jrm.2018.p0921

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

For improving the classification accuracy of the classifier, a novel classification methodology based on artificial bee colony algorithm is proposed for optimal feature and SVM parameters selection. In order to balance the ability of exploration and exploitation of traditional ABC algorithm, improvements are introduced for the generation of initial solution set and onlooker bee stage. The proposed algorithm is applied to four datasets with different attribute characteristics from UCI and efficiency of the algorithm is proved from the results.

引用

页码：921 / 926

页数：6

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