A literature review on the application of evolutionary computing to credit scoring

A I Marqués, V García and J S Sánchez
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A I Marqués: Department of Business Administration and Marketing, Universitat Jaume I, Castelló de la Plana, Spain
V García: Department of Computer Languages and Systems, Universitat Jaume I, Castelló de la Plana, Spain
J S Sánchez: Department of Computer Languages and Systems, Universitat Jaume I, Castelló de la Plana, Spain

Journal of the Operational Research Society, 2013, vol. 64, issue 9, 1384-1399

Abstract: The last years have seen the development of many credit scoring models for assessing the creditworthiness of loan applicants. Traditional credit scoring methodology has involved the use of statistical and mathematical programming techniques such as discriminant analysis, linear and logistic regression, linear and quadratic programming, or decision trees. However, the importance of credit grant decisions for financial institutions has caused growing interest in using a variety of computational intelligence techniques. This paper concentrates on evolutionary computing, which is viewed as one of the most promising paradigms of computational intelligence. Taking into account the synergistic relationship between the communities of Economics and Computer Science, the aim of this paper is to summarize the most recent developments in the application of evolutionary algorithms to credit scoring by means of a thorough review of scientific articles published during the period 2000–2012.

Date: 2013
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