DocumentCode
2835507
Title
The Cellular Genetic Algorithms with Disaster: The Size of Disaster Effects
Author
Lu Yuming ; Li Ming ; Li Ling
Author_Institution
Key Lab. of Nondestructive Test, Nanchang Hangkong Univ., Nanchang, China
fYear
2009
fDate
19-20 Dec. 2009
Firstpage
1
Lastpage
3
Abstract
The cellular genetic algorithm with disaster (CDGA) puts individuals into a toridal grid or presudo landscape which behave "active" or "inactive" state. The genetic operator of individuals is restricted to within neighborhood. In this paper, we evaluate combinational effects on size of neighborhood and size of disaster. We have tackled this research by considering two typical functions. Experiment results show that the good solution quality is obtained from combination of a larger size of neighborhood and a intermediate size of disaster.
Keywords
biocomputing; genetic algorithms; cellular genetic algorithms; combinational effects; disaster effects; genetic operator; presudo landscape; Automation; Educational institutions; Evolutionary computation; Genetic algorithms; Laboratories; Nondestructive testing; Performance analysis; Recurrent neural networks; Routing; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4994-1
Type
conf
DOI
10.1109/ICIECS.2009.5364398
Filename
5364398
Link To Document