Particle swarm algorithm applied in the layout optimization for console

摘要：

Components on console are usually arranged by manual layout according to ergonomics standards and experiences in nuclear power plant. It is hard to balance many criterions, for it depends much on designers judgments and preferences. This method leads to a random layout results. Particle swarm optimization is a solution to complex optimization problems with constraints, and has been applied successfully in layout and optimization fields. Fitness function was structured according to the evaluating indicators which include operation frequency and order and relationships between individuals. The optimization objective was evaluated by the hand moving distance. This method could be adopted to optimize the layout of components on human-machine interface in order to ensure safety and efficiency of the system. The troubles of subjective feelings and randomness are avoided. An example of 13 components is implemented to show the layout procedure.

关键词： layout optimization particle swarm algorithm console

作者: Yuqing Xu Qingxin Meng Zhi Yang

作者单位: College of Mechanical and Electrical Engineering Harbin Engineering University Harbin,China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 541-544

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）