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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 order to extract class association rules more effectively when dealing with large attributes set, Genetic Network Programming (GNP) based class association rule mining with Attributes Importance has been proposed in this paper. The main difference between the proposed method and the conventional GNP-based class association rule mining is that Attributes Importance is introduced to affect the attributes...
With the increased usage of Internet, network security attracts many researchers to propose various kinds of approaches. Data mining techniques are efficient to construct a reliable Intrusion Detection System. Classification is an essential task in data mining. In this paper, a new classification method is proposed to build an accurate and efficient classifier for intrusion detection. The new classification...
The purpose of this paper is to study how to improve the performance of Genetic Network Programming(GNP) by adding a credit mechanism and its application to trades on stock markets. GNP is one of the evolutionary computations having directed graph structures. Because of this unique structures, GNP could be more effective for gaining profits in stock markets than the other methods. However, the structure...
On-line auctions are the electronic marketplaces for trading commodities or services in modern life. Continuous Double Auction (CDA), which is different from the single-side auction types, allows multiple sellers and multiple buyers to update their asks and bids at the same time successively through the trading period. This paper discusses a new proposed CDA bidding strategy based on Genetic Network...
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