Intelligent Mutation Operator of Biogeography-Based Optimization Algorithm

被引：0

作者：

Zhu, Chao ^{[1
]}

Yang, Bo ^{[1
]}

He, He ^{[1
]}

Wu, Anqi ^{[1
]}

Zheng, Qi ^{[1
]}

机构：

[1] Wuhan Univ Technol, Sch Automat, Wuhan 430070, Peoples R China

来源：

2016 2ND INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS - COMPUTING TECHNOLOGY, INTELLIGENT TECHNOLOGY, INDUSTRIAL INFORMATION INTEGRATION (ICIICII) | 2016年

基金：

中国国家自然科学基金;

关键词：

intelligent algorithms; biogeography-based optimization; mutation; solution space; MIGRATION MODELS;

D O I：

10.1109/ICIICII.2016.36

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The mutation operator of Biogeography-Based Optimization (BBO) makes a large advance for the diversity of the solution space. Generally speaking, the quality of a solution is closely related with the maximum mutation rate, which is always decided by experience. But for the different situations, the maximum mutation rate may be different. In this paper, we propose an Intelligent Mutation Operator of Biogeography-Based Optimization (IMOBBO), which could find the suitable maximum mutation rate in overall benign ranges. Extensive simulation results are provided to demonstrate the effectiveness and the sharpness of the algorithm.

引用

页码：311 / 314

页数：4

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