DocumentCode :
1595667
Title :
Research for new modified adaptive genetic algorithm
Author :
Xu, Hai Yan
Author_Institution :
LinYi University, China
fYear :
2012
Firstpage :
1
Lastpage :
4
Abstract :
Genetic Algorithm is one kind of probability searching algorithm of simulating nature organic evolution. As a result of the characteristics which is none of space restrictive supposition restraint and strong robustness, it has obtained the widespread application in many domains at present. However, the simple Genetic Algorithm has the problems of the precocious phenomena, the slow rate of gathering and poor stability. To these problems, a new modified adaptive genetic algorithm is brought. It made the improvements in the initial community production and heredity operation, and the simulation experiment shows that this algorithm had the distinct improvement in the restraining rapidity and the stability.
Keywords :
Convergence rate; Crossover; Genetic Algorithm; Mutation; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
World Automation Congress (WAC), 2012
Conference_Location :
Puerto Vallarta, Mexico
ISSN :
2154-4824
Print_ISBN :
978-1-4673-4497-5
Type :
conf
Filename :
6321875
Link To Document :
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