Design Solution Optimization with Ant Colony Optimization

摘要：

Early in product design, existing automated concept generators use existing knowledge and the desired function to suggest solutions. These methods produce many candidate solutions, but often provide unmanageably large sets of solutions. So techniques are needed to organize the set of solutions into smaller groups. This paper presents an automated concept optimization method. Ant colony optimization (ACO) is used to optimize the generated conceptual candidate solutions automatically. A software prototype is developed and a case study of transmission mechanism of loading platform is detailed.

关键词： concept design solution optimization Ant colony optimization

作者: Yuyun Kang Dunbing Tang

作者单位: College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and Astronautics College of Mechanical and Electrical Engineering Nanjing University of Aeronautics and Astronautics

会议类型: 国际会议

会议名称: 2012 Fifth International Symposium on Computational Intelligence and Design 第五届计算智能与设计国际会议 ISCID 2012

会议地点: 杭州

会议语种:英文

页码: 860-863

在线出版日期: 2012-10-28（万方平台首次上网日期，不代表论文的发表时间）