Application of genetic programming for multicategory pattern classification

Application of genetic programming for multicategory pattern classification

This paper explores the feasibility of applying genetic programming (GP) to multicategory pattern classification problem for the first time. GP can discover relationships among observed data and express them mathematically. Multicategory pattern classification has been done traditionally by using the maximum likelihood classifier (MLC). GP-based techniques have an advantage over statistical met...

Genetic Programming of Prototypes for Pattern Classification

automatic verification of authentication protocols using genetic programming

implicit and unobserved errors and vulnerabilities issues usually arise in cryptographic protocols and especially in authentication protocols. this may enable an attacker to make serious damages to the desired system, such as having the access to or changing secret documents, interfering in bank transactions, having access to users’ accounts, or may be having the control all over the syste...

The application of genetic programming for feature construction in classification

This Thesis addresses the task of feature construction for classification. The quality of the data is one of the most important factors influencing the performance of any classification algorithm. The attributes defining the feature space of a given data set can often be inadequate, making it difficult to discover interesting knowledge. However, even when the original attributes are individuall...

Genetic Programming for Classification

This paper presents an approach for designing classifiers for a multiclass problem using Genetic Programming (GP). GP can discover relationships among observed data and express them mathematically. The proposed approach takes an integrated view of all classes when GP evolves. For a multiclass problem, an individual of the population will contain tree for every class. The GP is trained with a se...