DocumentCode
498262
Title
A New Evolutionary Optimization Algorithm Based on Super-individual
Author
Wang, Shun-Jiu ; Zhang, Xin-Li ; Ni, Chang-Jian
Author_Institution
Inst. of Plateau Meteorol., China Meteorol. Adm., Chengdu, China
Volume
1
fYear
2009
fDate
19-21 May 2009
Firstpage
559
Lastpage
563
Abstract
According to evolutionary principle, a new evolutionary optimization algorithm based on super-individual (SIEA) is presented. In the SIEA, the population is generated based on super-individual, and the complex process in genetic algorithm (GA) is not required. At last, several typical optimization problems including extremum, multivariable and NiH problem are used to test the efficiency of the SIEA. The results show the SIEA has good performance, which can be a new method to solve complicated optimization problems.
Keywords
genetic algorithms; NiH problem; evolutionary optimization algorithm; extremum problem; genetic algorithm; multivariable problem; super-individual; Educational institutions; Genetic algorithms; Genetic mutations; Information technology; Intelligent systems; Lagrangian functions; Meteorology; Newton method; Optimization methods; Testing; Evolutionary algorithm; genetic algorithm; optimization; super-individual;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location
Xiamen
Print_ISBN
978-0-7695-3571-5
Type
conf
DOI
10.1109/GCIS.2009.181
Filename
5209059
Link To Document