Multi-objective Evolutionary Algorithm Based on Included Angle Cosine and Its Application

摘要：

In this paper,based on included angle cosine,a new multi-objective evolutionary algorithm is put forward.First,the best solution of every objective among the multi-objectives is obtained and they are regarded on as the referenced vector. Second,the included angle cosine between every individual and the referenced vector is solved and the included angle cosine is acted as fitness of the individual.Moreover,the pareto optimal sets are solved by means of adaptive genetic algorithm.The variety of population is kept by means of adaptive probability of crossover and mutation.At last,the algorithm is used to optimize the design parameters of cylinder helical compression spring. Simulation examples show the effectiveness of the approach proposed.

作者: Junfeng Li Wenzhan Dai

作者单位: College of Mechanical Engineering Donghua University No.2999 Ren Min Bei Road,Shanghai,China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 1045-1049

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）