Gene expression programming algorithm based on multi-threading evaluator

2013 ◽  
Vol 32 (4) ◽  
pp. 986-989
Author(s):  
Sheng-qiao NI ◽  
Chang-jie TANG ◽  
Ning YANG ◽  
Jie ZUO
2013 ◽  
Vol 340 ◽  
pp. 801-804
Author(s):  
Xue Chen Wang ◽  
Xiao Guang Yue ◽  
Qing Guo Ren ◽  
Zi Qiang Zhao

According to the situation of frequently domestic mining safety accidents, the basic theory and related concepts of bioinformatics' gene expression programming and multi-agent system are discussed. Related concepts of Bioinformatics and biological evolution and evolutionary computation are described in this paper. A coal mine rescue robot working model is discussed based on bioinformatics gene expression programming algorithm and multi-agent system theory.


2013 ◽  
Vol 416-417 ◽  
pp. 739-742
Author(s):  
Xue Chen Wang ◽  
Xiao Guang Yue

In order to study a mine rescue robot model, gene expression programming algorithm is studied. The gene expression programming Algorithm can simulate many scientific models, and has been successfully applied in many aspects. Particle swarm optimization algorithm is discussed. Each member of the particle swarm optimization group can study its own experience and other members' experience to continuously change their search mode. Finally, a coal mine rescue robot model based on the gene expression programming and particle swarm optimization is put forward.


Author(s):  
Almoataz Y. Abdelaziz ◽  
S. F. Mekhamer ◽  
H. M. Khattab ◽  
M. L. A. Badr ◽  
Bijaya Ketan Panigrahi

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