Genetic algorithm based model for optimizing bank lending decisions

作者：

Highlights：

• The bank lending decisions in credit crunch environments are big challenge.

• This NP-hard optimization problem is solved using a proposed GA based model.

• The proposed model is tested using two scenarios with simulated and real data.

• The real data is collected from Southern Louisiana Credit Union.

• The proposed model increased the bank profit and improved the system performance.

摘要

•The bank lending decisions in credit crunch environments are big challenge.•This NP-hard optimization problem is solved using a proposed GA based model.•The proposed model is tested using two scenarios with simulated and real data.•The real data is collected from Southern Louisiana Credit Union.•The proposed model increased the bank profit and improved the system performance.

论文关键词：Lending decision,Genetic algorithm,Loan portfolio,Bank objectives

论文评审过程：Received 16 January 2017, Revised 8 March 2017, Accepted 9 March 2017, Available online 16 March 2017, Version of Record 17 March 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.03.021