A Mixed Genetic Algorithm Strategy to Sensor Selection Problem in WSNs

2013 ◽  
Author(s):  
Luhutyit Peter Damuut ◽  
Dongbing Gu
Keyword(s):  
Genetic Algorithm ◽  
Sensor Selection ◽  
Selection Problem ◽  
Mixed Genetic Algorithm

Research on Active Polarization Control System of Fiber Laser Based on a Mixed Genetic Algorithm and Simulated Annealing Algorithm

2020 ◽  
Vol 40 (23) ◽  
pp. 2314002
Author(s):  
尤阳 You Yang ◽  
漆云凤 Qi Yunfeng ◽  
沈辉 Shen Hui ◽  
邹星星 Zou Xingxing ◽  
何兵 He Bing ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Simulated Annealing ◽  
Control System ◽  
Fiber Laser ◽  
Simulated Annealing Algorithm ◽  
Polarization Control ◽  
Annealing Algorithm ◽  
Mixed Genetic Algorithm

Complex Genetic Algorithm for Structure Shape Optimization Design of Mixed Discrete Variables

2012 ◽  
Vol 166-169 ◽  
pp. 118-122
Author(s):  
Chao Yan Zhu ◽  
Jing Yu Liu ◽  
Hong Yan Liu ◽  
Xue Zhi Wang
Keyword(s):  
Genetic Algorithm ◽  
Shape Optimization ◽  
Optimization Design ◽  
Complex Method ◽  
Discrete Variables ◽  
Genetic Algorithm Method ◽  
Species Groups ◽  
Mixed Genetic Algorithm ◽  
Optimum Solution ◽  
Two Kinds Of Variables

Discrete complex method is used in genetic algorithm(GA) and a mixed genetic algorithm called complex genetic algorithm(CGA) is formed. The complex method used here increases the quality of species groups, and improves the searching efficiency. The mixed genetic algorithm method is used in the shape optimization for mixed discrete variables. The integration and coding of the shape variables and the cross-section variables in genetic algorithm can not only solve the coupling problem of two kinds of variables, but also avoid the partial optimum solution resulting from the separation of the two kinds of variables. The result of the exemplification indicates that the complex genetic algorithm for structure shape optimization design of mixed discrete variables is effective.

Sign in / Sign up

Export Citation Format

Share Document