A Global Optimization Algorithm Based on Plant Growth Theory: Plant Growth Optimization

被引：28

作者：

Cai, Wei ^{[1
]}

Yang, Weiwei ^{[1
]}

Chen, Xiaoqian ^{[1
]}

机构：

[1] Natl Univ Def Technol, Coll Aerosp & Mat Engn, Multidisciplinary Aerosp Design Optimizat Res Ctr, Changsha 410073, Hunan, Peoples R China

来源：

International Conference on Intelligent Computation Technology and Automation, Vol 1, Proceedings | 2008年

关键词：

D O I：

10.1109/ICICTA.2008.416

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A novel optimization algorithm, Plant Growth Optimization (PGO), is proposed in this paper. According to the plant growth characteristics, an artificial plant growth model is built including leaf growth, branching, phototropism and spatial occupancy. Afterward two mechanisms are introduced and the basic process of PGO is presented in details. Three classical test problems are adopted to test the performance of this new algorithm and the results show; that it is very effective to get global optimum solution which benefits from its search mechanism. Furthermore, the effects of population size on optimization performance are also discussed.

引用

页码：1194 / 1199

页数：6