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

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.

作者: Wei Cai Weiwei Yang Xiaoqian Chen

作者单位: Multidisciplinary Aerospace Design Optimization Research Center, College of Aerospace and Materials Engineering, National University of Defense Technology, Changsha, China. 410073

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 1194-1199

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）