Optimal Building Frame Column Design Based on the Genetic Algorithm

作     者：Tao Shen Yukari Nagai Chan Gao 

作者机构：Knowledge ScienceJapan Advanced Institute of Science and TechnologyNomi CityIshikawa 923-1292Japan Architecture DepartmentHuzhou UniversityHuzhouZhejiang313000China. 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2019年第58卷第3期

页      面：641-651页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Structure optimization genetic algorithm concurrent computation conceptual design simulation experiment. 

摘      要：Building structure is like the skeleton of the building,it bears the effects of various forces and forms a supporting system,which is the material basis on which the building *** building structure design is a vital part in architecture design,architects often explore novel applications of their technologies for building structure ***,such searches relied on experiences,expertise or gut *** this paper,a new design method for the optimal building frame column design based on the genetic algorithm is *** of all,in order to construct the optimal model of the building frame column,building units are divided into three categories in general:building bottom,main building and building ***,the genetic algorithm is introduced to optimize the building frame *** the meantime,a PGA-Skeleton based concurrent genetic algorithm design plan is proposed to improve the optimization efficiency of the genetic ***,effectiveness of the mentioned algorithm is verified through the simulation experiment.