DocumentCode :
3256710
Title :
Genetic operators using viral models
Author :
Faulkner, Grahame
Author_Institution :
Artificial Neural Network Res. Group, Tasmania Univ., Hobart, Tas.
Volume :
2
fYear :
1995
fDate :
29 Nov-1 Dec 1995
Firstpage :
652
Abstract :
The use of inversion operators based loosely on viral models are compared using the travelling salesman problem. Using statistical methodologies, some of the operators are found to be preferable in that they offered, on average, significantly faster convergence combined with less likelihood to “plateau” early
Keywords :
convergence; genetic algorithms; mathematical operators; travelling salesman problems; convergence; genetic operators; inversion operators; statistical methodologies; travelling salesman problem; viral models; Artificial neural networks; Biological cells; Electronic mail; Genetics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 1995., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2759-4
Type :
conf
DOI :
10.1109/ICEC.1995.487461
Filename :
487461
Link To Document :
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