DocumentCode
2668393
Title
The intelligence mind evolutionary algorithm based on difference
Author
Guo, Hongge ; Xie, Keming
Author_Institution
Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan, China
fYear
2012
fDate
23-25 May 2012
Firstpage
1301
Lastpage
1303
Abstract
In order to add population diversity, The intelligence mind evolutionary algorithm (IMEA) based on difference is presented. It uses difference information of subpopulations to share social information and comparing fitness to consideration. The improved algorithm makes mind evolutionary algorithm(MEA) perfect in theory and achieves the best balance between the searching velocity and global convergence in practice. Optimum experiments by the testing functions show the effectiveness and feasibility of the IMEA.
Keywords
artificial intelligence; evolutionary computation; search problems; IMEA; global convergence; intelligence mind evolutionary algorithm; mind evolutionary algorithm; population diversity; social information sharing; testing functions; Convergence; Educational institutions; Evolution (biology); Evolutionary computation; History; Humans; Optimization; Difference; Mind evolutionary algorithm; Sharing social information;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location
Taiyuan
Print_ISBN
978-1-4577-2073-4
Type
conf
DOI
10.1109/CCDC.2012.6244208
Filename
6244208
Link To Document