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
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;
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
DOI :
10.1109/ICIME.2010.5477677
