Hybrid techniques of combinatorial optimization based on genetic algorithms with application to feature selection in retail credit risk assessment

The purpose of this dissertation is to thoroughly investigate the overall data set available to the bank and to determine the extent to which these data can be a good basis for predicting the credit worthiness of the loan applicant. Such a prediction of the applicants ability should be done without seeking additional information from the client, assuming that the loan applicant is a lo…