Article
A graph-based evolutionary algorithm: Genetic Network Programming (GNP) and its extension using reinforcement learning.
Evolutionary computation - 1 Jan 2007
Mabu Shingo, Hirasawa Kotaro, Hu Jinglu
Abstract excerpt
This paper proposes a graph-based evolutionary algorithm called Genetic Network Programming (GNP). Our goal is to develop GNP, which can deal with dynamic environments efficiently and effectively, based on the distinguished expression ability of the graph (network) structure. The characteristics of GNP are as follows. 1) GNP programs are composed of a number of nodes which execute simple judgment/processing, and...
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