On the optimization of degree distributions in LT code with covariance matrix adaptation evolution strategy

Author(s):  
Chih-Ming Chen ◽  
Ying-ping Chen ◽  
Tzu-Ching Shen ◽  
John K. Zao
2012 ◽  
Vol 215-216 ◽  
pp. 133-137
Author(s):  
Guo Shao Su ◽  
Yan Zhang ◽  
Zhen Xing Wu ◽  
Liu Bin Yan

Covariance matrix adaptation evolution strategy algorithm (CMA-ES) is a newly evolution algorithm. It has become a powerful tool for solving highly nonlinear multi-peak optimization problems. In many real-world optimization problems, the location of multiple optima is often required in a search space. In order to evaluate the solution, thousands of fitness function evaluations are involved that is a time consuming or expensive processes. Therefore, conventional stochastic optimization methods meet a special challenge for a very large number of problem function evaluations. Aiming to overcome the shortcoming of stochastic optimization methods in the high calculation cost, a truss optimal method based on CMA-ES algorithm is proposed and applied to solve the section and shape optimization problems of trusses. The study results show that the method is feasible and has the advantages of high accuracy, high efficiency and easy implementation.


2019 ◽  
Vol 83 ◽  
pp. 105680 ◽  
Author(s):  
Yajun Liang ◽  
Xiaofei Wang ◽  
Hui Zhao ◽  
Tong Han ◽  
Zhenglei Wei ◽  
...  

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