Online Learning of Genetic Network Programming

Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Junichi Murata · IEEJ Transactions on Electronics Information and Systems · 2002

Many methods that can automaticlly make the behavior sequences of agents have been reported. Recently, a new evolutionary computation method named Genetic Network Programming (GNP) has been proposed. GNP is an extension of Genetic Algorithm (GA) and Genetic Programming (GP). GNP has a net work structure and it can make the behavior sequences of agents effectively. In this paper, an online learning method for GNP is proposed. The method can make GNP adapt to the dynamical environments by changing its behavior sequences immediately after GNP causes bad results.

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