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This paper describes a kind of replacement mechanism which improves the generalization ability of Variable Size Genetic Network Programming (GNPvs). GNPvs is an extension of Genetic Network Programming (GNP), which has changeable number of nodes. Inspired by the theory of Evolution by Gene Duplication, the non-frequently used nodes are replaced with the frequently used nodes in the proposed method,...
In this paper, a subroutine mechanism is introduced in genetic network programming for automatic program generation (GNP‐APG). The proposed method named GNP with subroutines for APG (GNPsr‐APG) is an extension of the algorithm of GNP‐APG, where hierarchy programs are generated: in other words, programs that contain a main function and subroutines are generated. The proposed method automatically defines...
Genetic Network Programming (GNP) is a novel evolutionary algorithm. It has graph-based structures which is extended from Genetic Algorithm (GA) and Genetic Programming (GP). Up to now, GNP has been applied to many research fields such as data mining and elevator control systems. On the other hand, automatic program generation is a way to obtain a program without explicitly programming it, and Genetic...
As an extension of Genetic Algorithm (GA) and Genetic Programming (GP), a new approach named Genetic Network Programming (GNP) has been proposed in the evolutionary computation field. GNP uses multiple reusable nodes to construct directed-graph structures to represent its solutions. Recently, many research has clarified that GNP can work well in data mining area. In this paper, a novel evolutionary...
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