DocumentCode
2545179
Title
Research and improvement of Immune Genetic Algorithm
Author
Ben-Gong, Yu ; Xiao-Jing, Liu
Author_Institution
Sch. of Manage., Hefei Univ. of Technol., Hefei, China
fYear
2010
fDate
16-18 April 2010
Firstpage
563
Lastpage
566
Abstract
The Immune Genetic Algorithm has add an identify board of antigen to Immune Algorithm, it effectively reduce evolving time and accelerate algorithm´s constringency. To improve the situation of Immune Genetic Algorithm prone to plunge into local optimum It consult chaos Algorithm, increase chaos factor, so can make disturbances in the round of genetic factor. It can increase the kinds of colony and provides an effective method for global parameter optimization.
Keywords
genetic algorithms; algorithm constringency; genetic factor; global parameter optimization; immune genetic algorithm; Chaos; Flowcharts; Genetic algorithms; Genetic mutations; Machine learning algorithms; Parallel processing; Process design; Search methods; Space technology; Technology management; Genetic Algorithm; Immune Algorithm; chaos factor; local optimum;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5263-7
Electronic_ISBN
978-1-4244-5265-1
Type
conf
DOI
10.1109/ICIME.2010.5477677
Filename
5477677
Link To Document