Multi-objective stacking sequence optimization of laminated cylindrical panels using a genetic algorithm and neural networks

2007 ◽  
Vol 81 (2) ◽  
pp. 253-263 ◽  
Author(s):  
M. Abouhamze ◽  
M. Shakeri
Keyword(s):  
Genetic Algorithm ◽  
Neural Networks ◽  
Stacking Sequence ◽  
Sequence Optimization ◽  
Stacking Sequence Optimization ◽  
Multi Objective ◽  
Cylindrical Panels

Reinforcement Design for Composite Laminate with Large Cutout by a Genetic Algorithm Method

2013 ◽  
Vol 631-632 ◽  
pp. 754-758
Author(s):  
Zhong Lei Sun ◽  
Mei Ying Zhao ◽  
Li Long Luo
Keyword(s):  
Genetic Algorithm ◽  
Optimization Method ◽  
Stacking Sequence ◽  
Sequence Optimization ◽  
Selection Probability ◽  
Stacking Sequence Optimization ◽  
Simple Genetic Algorithm ◽  
New Strategy ◽  
Genetic Algorithm Method ◽  
Reinforcement Design

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.

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