建筑结构学报2018，Vol.39Issue(1)：120-128,9.DOI:10.14006/j.jzjgxb.2018.01.014
模拟植物生长算法的改进策略及桁架结构优化研究
Improved strategies of plant growth simulation algorithm and optimization of truss structures
摘要
Abstract
Plant growth simulation algorithm (PGSA) is one kind of intelligent algorithm which is based on the plant phototropism mechanism (morphactin concentration theory).The basic principle of PGSA was analyzed,and then the limitations of PGSA were pointed out and verified.According to these,two improved strategies were proposed:elite strategy of morphactin concentration's calculation and strategy of intelligent variable step size.The former can remove the inferior growth points quickly during the growth process so as to improve the optimal efficiency,and the latter can reduce the search time by changing the step size.Through typical examples,both improved strategies have positive effect on optimizing efficiency and judgment mechanism of termination.In the end,through a truss optimization design problem,the result shows that improved PGSA has significantly higher optimization efficiency than PGSA.Improved PGSA has a good applicability in the structural optimization.关键词
桁架/模拟植物生长算法/结构优化/精英策略/智能变步长策略Key words
truss/plant growth simulation algorithm/structural optimization/elite strategy/intelligent variable step strategy分类
建筑与水利引用本文复制引用
石开荣,阮智健,姜正荣,张原,林全攀..模拟植物生长算法的改进策略及桁架结构优化研究[J].建筑结构学报,2018,39(1):120-128,9.基金项目
亚热带建筑科学国家重点实验室开放课题(2012KB31),广州市科技计划项目(1563000257). （2012KB31）
