ADOPTING GENETIC ALGORITHM AS A SMART OPTION IN DEVELOPING AN INTELLIGENT DATA LOGGER FOR SETTLING CASH DISPENSE ALTERCATION

Abstract

The customers of Nigerian banks are regularly faced with the issue of delay in reversing debited funds when dispense errors occur.  These customers in some cases wait for days, weeks and months to get their reversal and sometimes they are never reversed.  24 hours auto reverse of debited funds only occurs in one out of hundreds of transactions made by customers which makes the existing system unreliable and inefficient. In order to improve the present system and get rid of the manual method of filling out the dispense dispute form at the banking hall, an intelligent data logger for resolving cash dispense disputes in banking industry using a Genetic Algorithm (GA) was developed. The data for the system was collected through the application of questionnaires and personal interviews of bank staff and customers. The GA optimization methodology was applied for automating the reversing of debited funds with an online user interface that speedily resolves the issue of debited funds in microseconds. The automated platform developed was tested on a real-life application of cash transaction and optimized result achieved. The achieved results were validated using Genetic Algorithm’s fitness function on a MATLAB application while the dispense dispute e-form was developed and validated on the sublime text web application. The significant results obtained from the sampled banks indicated an optimized performance efficiency of 97% in resolving delay in reversing debited funds on dispense dispute.