Application of Improved Genetic Algorithm in Microstructure Optimization of Closed-cell Material

摘要：

In this paper, we proposed an improved niche genetic algorithm on the basis of the density clustering-based DBSCAN algorithm which can distinct between niches dynamically and maintain the ability of population diversity. Its application in the field of closed-cell material optimization shows that the algorithm can effectively overcome some shortcomings, such as prematurity, poor local search capabilities in simple genetic algorithms. Moreover, this algorithm can get the results with a higher precision in a short time.

关键词： genetic algorithm niche density clustering microstructure optimization

作者: ZHAO Junfeng CUI Junzhi LI Wei

作者单位: Department of Applied Mathematics Northwestern Polytecnnical University Xian Shaanxi 710072,P.R.Chi Institute of Computational Mathematics and Science-Engineering Computing Chinese Academy of Sciences Department of Mathematics, School of Science, Xidian University Xian Shaanxi 710071,P.R.China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 86-90

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）