文章基本信息

标题：A Hybrid Approach Using GA and ACO for Risk Assessment in Bank Loan Process
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作者：Er. Iqbaldeep Kaur ; Rajvir Kaur
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2015
卷号：6
期号：3
页码：86-89
语种：English
出版社：Ayushmaan Technologies
摘要：Risk assessment has been one of the major areas of research in banking. The main purpose of assessing credit risk is to differentiate between a potentially default customer and non-default customer. The work presented in this paper focuses on calculating risk assessment value by using Genetic Algorithm and Ant Colony Optimization Algorithm. The modelling of bank loan process that a banking organization follows is done by using BPEL (Business Process Execution Language). The outputs of this method are important for reusability purpose.
关键词：Risk Assessment;BPEL Process;Genetic Algorithm;Ant Colony Optimization Algorithm;Software Reusability