DocumentCode :
481273
Title :
Optimal design of main girder of large pressing machine based on father-offspring combined selection GA
Author :
Cai, Lanrong ; Hu, Dejin ; Jia, Yan
Author_Institution :
School of mechanical and power engineering, Shanghai Jiaotong University, 200030, China
fYear :
2006
fDate :
6-7 Nov. 2006
Firstpage :
1106
Lastpage :
1112
Abstract :
Main girder is one of the most important forced parts of large pressing machine. Its optimal design is a complex real world engineering optimization problem with a series of design constraints .Classical optimization algorithms such as the downhill simplex and sequential quadratic programming are generally not successful in solving such hard optimization problems. They often do not give “global” or “near-global” optimum solutions. In this paper, a modified genetic algorithm is presented which is based on father-offspring combined selection strategy. In the proposed algorithm, a core technique, father-offspring combined selection strategy, is used to improve the convergence drawbacks of the basic genetic algorithm in search for global optimum. The efficiency of the proposed genetic algorithm is illustrated by application to main girder optimum design. The results show that the global searching ability and the convergence speed of this proposed algorithm are significantly better than traditional optimization methods. Hence, the father-offspring combined selection genetic algorithm is efficient and valid in solving practical engineering design problems.
Keywords :
Main girder; father-offspring combined selection; genetic algorithm; optimal design;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Technology and Innovation Conference, 2006. ITIC 2006. International
Conference_Location :
Hangzhou
ISSN :
0537-9989
Print_ISBN :
0-86341-696-9
Type :
conf
Filename :
4752165
Link To Document :
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