Adaptive Niche Genetic Algorithm based on gradi-optimization

Author

Xing, Xiao-Shuai ; Zhang, Qing-Quan ; Cui, Da-Pang ; Li, Jonathan ; Yang, Pei-Lin ; Xi, Hong-Lei

Author_Institution

College of Physics and Information Engineering Shanxi Normal University, Linfen, China, 041004

fYear

2010

fDate

4-6 Dec. 2010

Firstpage

1

Lastpage

4

Abstract

To deal with low efficiency and low convergence speed in searching the global optimum, and only gaining several the optimum while it is used in multimode-function-optimization, an adaptive Niche Genetic Algorithm (NGA) based on gradi-optimization is proposed in this paper. The adaptive crossover operator and mutation operator are used to guarantee the population diversity, improve the global optimum search and accelerate the convergence speed. The gradi-optimization is used to improve the precision of the optimum. Simulation results in the Shubert show that this method is nice at improving on the global optimum search, convergence speed and its superiority in precision.

Keywords

Accuracy; Adaptation model; Algebra; Algorithm design and analysis; Biological system modeling; Convergence; Optimization; Niche Genetic Algorithm(NGA); adaptive; gradi-optimization; non-uniform mutation operator;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Engineering (ICISE), 2010 2nd International Conference on

Conference_Location

Hangzhou, China

Print_ISBN

978-1-4244-7616-9

Type

conf

DOI

10.1109/ICISE.2010.5690515

Filename

5690515