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
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;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
DOI :
10.1109/ICICTA.2008.416