Improved Hexagon Unit to Antenna Optimization by Binary Coding Method

Author(s):  
Junping Geng ◽  
Ronghong Jin
Keyword(s):  
2011 ◽  
Vol 111 (5) ◽  
pp. 978-982 ◽  
Author(s):  
Zhi Cao ◽  
Bo Liao ◽  
Renfa Li ◽  
Jiawei Luo ◽  
Wen Zhu

2010 ◽  
Vol 7 (3) ◽  
pp. 619-622
Author(s):  
Xuyu Xiang ◽  
Bo Liao ◽  
Dafang Zhang ◽  
Jiawei Luo

2016 ◽  
Vol 42 (10) ◽  
pp. 70-76
Author(s):  
Ogannes Ashotovich Aivazian ◽  
Keyword(s):  

2010 ◽  
Vol 121-122 ◽  
pp. 304-308
Author(s):  
Lu Gang Yang

In the application of Genetic Algorithm (GA) to solve the function optimization problem, different encoding methods have different effect on performance of GA. Aiming at the global optimization problem of a class of nonlinear multi-peak function, the paper utilized binary coding and floating coding methods for genetic optimization and analyzed their performance. The experimental result of four kinds of typical nonlinear multi-peak function showed that under the precondition of given genetic operator, the optimizing performance of floating coding method to optimize nonlinear multi-peak function with isolated extreme points is less that the binary coding. The tuning ability of floating coding is stronger. As to the ordinary multi-peak function, the search affect is better than binary coding.


2020 ◽  
Vol 59 (14) ◽  
pp. 4279 ◽  
Author(s):  
Yuwei Wang ◽  
Lu Liu ◽  
Jun Wu ◽  
Xiangcheng Chen ◽  
Yajun Wang

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