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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,...
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,...
This paper proposes a different type of Genetic Network Programming (GNP) — Variable Size Genetic Network Programming (GNPvs) with Binomial Distribution. In contrast to the individuals with fixed size in Standard GNP, GNPvs will change the size of the individuals and obtain the optimal size of them during evolution. The proposed method defines a new type of crossover to implement the new feature of...
Genetic Network Programming(GNP) is a newly developed evolutionary computation method. A GNP based rule accumulation method(GNP-RA) is also proposed to generate decision rules and accumulate them into the rule pool, which serves as an experience set for agent control problems. Elite individuals are regarded as evolving rule generators and the extracted rules are viewed as solutions, which is different...
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...
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