DocumentCode
1872298
Title
The importance of maintaining behavioural link between parents and offspring
Author
Yao, Xin
Author_Institution
Comput. Intelligence Group, Australian Defence Force Acad., Canberra, ACT, Australia
fYear
1997
fDate
13-16 Apr 1997
Firstpage
629
Lastpage
633
Abstract
In a study of evolutionary artificial neural networks (Yao and Liu, 1996), it has been argued that a partial training process after an architectural mutation plays an important role in maintaining the behavioural link between parents and their offspring and thus is beneficial to the simulated evolution. This paper investigates the issue further through a number of experiments. The experimental results show that a closer behavioural link between parents and their offspring due to the partial training process does lead to better performance, i.e., evolved ANNs generalise better. The results also illustrate that given a fixed amount of time there is an optimal balance of time between evolution and training (learning)
Keywords
generalisation (artificial intelligence); genetic algorithms; genetics; learning (artificial intelligence); neural nets; architectural mutation; behavioural link; evolutionary artificial neural networks; experiments; generalisation; learning; offspring; parents; partial training process; performance; simulated evolution; time; Artificial neural networks; Australia; Computational intelligence; Computer science; Educational institutions; Genetic mutations; Genetic programming; Springs;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 1997., IEEE International Conference on
Conference_Location
Indianapolis, IN
Print_ISBN
0-7803-3949-5
Type
conf
DOI
10.1109/ICEC.1997.592388
Filename
592388
Link To Document