Visualization of Optimum Design Based on Genetic Algorithms

摘要：

The optimum design visualization is one of the focuses study at present, this paper will apply the visualization technology into the optimum design based on Genetic Algorithms(namely GAs). For the multi-variable objective function in the mathematics model, a new visualization approach for displaying N-dimensional function in 3-D Euclid Space is used in function graph. For the GAs population visualization, every individual in N-dimensional genetic space will be mapped to the polyline by using the Parallel Coordinate System(namely PCS). After optimum design, optimal results and middle data will be displayed in the standardized form. At last, a new visualization model for optimum design based on GAs is established in this paper.

关键词： visualization optimum design genetic algorithms

作者: Yugen Gao

作者单位: School of Mechanical and Automotive Engineering Zhejiang University of Science and Technology Hangzhou, China

会议类型: 国际会议

会议名称: 2010 IEEE 11th International Conference on Computer-Aided Industrial Design & Conceptual Design(2010年第11届国际计算机辅助工业设计与概念设计学术会议)

会议地点: 浙江义乌

会议语种:英文

页码: 435-438

在线出版日期: 2010-11-17（万方平台首次上网日期，不代表论文的发表时间）