Evolutionary Cellular Automata Algorithm with Hybrid Discrete Variables and its Application to Mechanical Optimization

摘要：

　　The optimization design about hybrid discrete variables synthesizing integer,discrete and continuous variables is very significant but also difficult in engineering,mathematics for programming and operational research.Aimed at shortages of existing optimum methods,in this paper,Evolutionary Cellar Automata Algorithm (ECAA) is proposed to complex optimization problem with hybrid discrete variables which has a digging operator and two learning operators (dual arithmetic crossover operator and chaos-peak-jumping operator).The computing examples of mechanical optimization design show that this algorithm has no special requirements on the characteristics of optimal designing problems,it has a fairly good universal adaptability and a reliable operation of program with a strong ability of overall convergence and high efficiency.

关键词： Evolutionary Cellular Automata Algorithm hybrid discrete variables mechanical optimization

作者: Weiyue XlAO Yuehua CAI Youxin LUO

作者单位: College of Mechanical Engineering, Hunan University of Arts and Science, Changde, 415000,P.R.China

会议类型: 国际会议

会议名称: 3rd International Conference on Frontiers of Manufacturing and Design Science(第三届制造与设计科学前沿国际会议(ICFMD))

会议地点: 香港

会议语种:英文

页码: 912-916

在线出版日期: 2012-12-11（万方平台首次上网日期，不代表论文的发表时间）