模式学习优化的文化算法在环境艺术创新设计中的应用  

Environment Art Innovation Design Model Based on Optimal Pattern Learning Culture Algotithm

作　　者：凌霞[1] 陈飞虎[1] Ling Xia;Chen Feihu(City Planning and Building College,Southwest University for Nationalities,Sichuan Chengdu 610000,China)

机构地区：[1]西南民族大学城市规划与建筑学院,成都610000

出　　处：《科技通报》2017年第3期111-114,共4页Bulletin of Science and Technology

基　　金：Art of national social science fund project;project number:15EG181

摘　　要：针对标准文化算法在环境艺术创新设计中还存在收敛精度不高、应用效果较差等问题。本文提出了一种基于模式学习文化算法的环境艺术创新设计模型。首先采用遗传算法为文化算法的群体空间提供种群,然后利用模式抽取获取优秀个体所携带的特征信息,并定期组织种群内个体向这些特征信息进行模式学习,从而充分利用了优秀模式的引导作用,加快了算法的收敛速度。通过仿真实验表明,本文提出的改进算法相比较标准算法具有较好的多目标优化精度,且在环境艺术创新设计中应用良好。In view of the standard culture algorithm in environment art design innovation there is convergence accuracy is not high,the application effect is poor.This paper presents an algorithm based on pattern learning culture environment art innovation design model.First group space for cultural algorithm based on the genetic algorithm provides populations,and then use pattern extraction to obtain outstanding characteristic of the information carried by individuals,and organize regular population within the individual to learn from these feature information model,so as to make full use of the guiding role of excellent patterns,to speed up the convergence of the algorithm.Through the simulation experiments show that the proposed algorithm compared with standard algorithm has good precision of multi-objective optimization,and applications in environmental art innovation design is good.

关 键 词：模式学习 环境艺术创新设计 文化算法 特征信息提取 模式引导 

分 类 号：TU972.12[建筑科学—建筑设计及理论]