Stacking sequence optimization by a genetic algorithm with a new recessive gene like repair strategy

1998 ◽  
Vol 29 (3) ◽  
pp. 277-285 ◽  
Author(s):  
Akira Todoroki ◽  
Raphael T. Haftka

2013 ◽  
Vol 631-632 ◽  
pp. 754-758
Author(s):  
Zhong Lei Sun ◽  
Mei Ying Zhao ◽  
Li Long Luo

A dual-zone reinforcement ply stacking sequence optimization method used for comosite laminate with large cutout is present. The optimization method utilized a new Genetic Algorithm. The new Genetic Algorithm introduced a new strategy which can improve the efficiency of the traditional Genetic Algorithm and overcome the shortages of the worse convergency and prematurity of the Simple Genetic Algorithm. In the new Genetic Algorithm, the selection probability and the mutation probability are self-adaptive. Compared with the Simple Genetic Algorithm, the new Genetic Algorithm method shows good consistency, fast convergency and practical feasibility. By using the new Genetic Algorithm, the reinforcement ply stacking sequence optimization method got reasonable symmetric and balance stacking sequence which could meet the design requirements.









2013 ◽  
Vol 48 (4) ◽  
pp. 795-805 ◽  
Author(s):  
Shenyan Chen ◽  
Zhiwei Lin ◽  
Haichao An ◽  
Hai Huang ◽  
Changduk Kong




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