SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming

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...

Genetic Algorithms for Feature Selection

Feature selection and molecular classification of cancer using genetic programming.

Despite important advances in microarray-based molecular classification of tumors, its application in clinical settings remains formidable. This is in part due to the limitation of current analysis programs in discovering robust biomarkers and developing classifiers with a practical set of genes. Genetic programming (GP) is a type of machine learning technique that uses evolutionary algorithm t...

Genetic Algorithms for Feature Selection and Weighting

Automated techniques to optimise the retrieval of relevant cases in a CBR system are desirable as a way to reduce the expensive knowledge acquisition phase. This paper concentrates on feature selection methods that assist in indexing the case-base, and feature weighting methods that improve the similarity-based selection of relevant cases. Two main types of method are presented: filter methods ...

Messy Genetic Algorithms for Subset Feature Selection

Subset Feature Selection problems can have several attributes which may make Messy Ge netic Algorithms an appropriate optimization method First competitive solutions may of ten use only a small percentage of the total available features this can not only o er an advantage to Messy Genetic Algorithms it may also cause problems for other types of evolutionary algorithms Second the evalu ation of ...