TY - JOUR
T1 - The Genetic Algorithm for Interoperability Cost Optimization: A Case Study of GIMAC Business Network
AU - Tatiana , Eyenga Ovono
JO - African Journal for Industrial and Applied Mathematics
VL - 1
SP - 141
EP - 157
PY - 2025
DA - 2025/06
SN - 1
DO - http://doi.org/10.4208/ajiam.2025-0007
UR - https://global-sci.org/intro/article_detail/ajiam/24225.html
KW - Genetic algorithm, interoperability cost analysis, model for optimizing interoperability cost, inter-organizational business process.
AB - <p style="text-align: justify;">Interoperability cost analysis is a continuous trend in enterprise information systems. Researchers have made the most significant contributions in this
field. The problem we address is to show how to optimize interoperability costs
within a networked enterprise. To overcome this issue, we have used a genetic
algorithm in which, the fitness function that we have defined is a new model for
optimizing the interoperability cost. To show how organizations validate and verify the solutions obtained through interoperability cost analysis and what measures
are taken to ensure the accuracy and reliability of the results, we have conducted
a case study within a networked enterprise. The results of the interoperability cost
analysis show that the inter-organizational business process studied is not adapted
to the interoperable information system and does not allow the evolution of the
network after a certain number of years.</p>