Title :
Online learning of genetic network programming (GNP)
Author :
Mabu, Shingo ; Hirasawa, Kotaro ; Hu, Jinglu ; Murata, Junichi
Author_Institution :
Graduate Sch. of Inf. Sci. & Electr. Eng., Kyushu Univ., Fukuoka, Japan
Abstract :
A new evolutionary computation method called genetic network programming (GNP) was proposed recently. In this paper, an online learning method for GNP is proposed. This method uses Q learning to improve its state transition rules so that it can make GNP adapt to dynamic environments efficiently
Keywords :
genetic algorithms; learning (artificial intelligence); Q learning; dynamic environments; evolutionary computation method; genetic network programming; online learning; state transition rules; Decision making; Economic indicators; Electronic mail; Evolutionary computation; Game theory; Genetic programming; Information science; Organisms; Tree data structures; Tree graphs;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1006254
