DocumentCode
3223395
Title
A Global Optimization Algorithm Based on Plant Growth Theory: Plant Growth Optimization
Author
Cai, Wei ; Yang, Weiwei ; Chen, Xiaoqian
Author_Institution
Multidiscipl. Aerosp. Design Optimization Res. Center, Nat. Univ. of Defense Technol., Changsha
Volume
1
fYear
2008
fDate
20-22 Oct. 2008
Firstpage
1194
Lastpage
1199
Abstract
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.
Keywords
artificial life; botany; optimisation; artificial plant growth model; branching; global optimization algorithm; leaf growth; optimization performance; phototropism; plant growth optimization; plant growth theory; population size; search mechanism; spatial occupancy; Aerospace engineering; Aerospace materials; Ant colony optimization; Chemicals; Computational modeling; Design automation; Design optimization; Educational institutions; Production; Testing; Global Optimization; Plant Growth Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location
Hunan
Print_ISBN
978-0-7695-3357-5
Type
conf
DOI
10.1109/ICICTA.2008.416
Filename
4659682
Link To Document