Increase the income based on partner selection to reduce bankruptcy risk by mathematical model and solve it by genetic algorithm
One of the goals of financial institutions is to strengthen the economic infrastructure in developing the financial sphere. In this regard, financial institutions should take the necessary planning to increase their incomes, and if they do not pay attention, the consequences can be predicted for this group of economic activists Increasing income and reducing the risk of bankruptcy are among the most important goals for financial institutions and enterprises. Therefore, considering the increase of income and the integration approach based on the selection of partners in the field of banking, this paper presents a mathematical model based on reducing the risk of bankruptcy. The multi-objective genetic algorithm method has been used to solve and optimize the model. The proposed method was implemented on real data related to ten Iranian banks and the results led to the formation of a financial firm with a combination of banks to maximize the income and minimize the bankruptcy risk.
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Reduction of Insolvency Risk and Total Costs in Banking Sector using Partners Selection Approach with Genetic Algorithm and Multilayer Perceptron Neural Network
M. Azarbad, A. A. Shojaie *, F. Abdi, V. R. Ghezavati, K. Khalili-Damghani
International Journal of Engineering, Aug 2024 -
Reducing the risk of Insolvency and costs in the field of banking with the approach of selecting partners
, Amirabbas Shojaie *, Farshid Abdi, Vahidreza Ghezavati, Kaveh Khalili Damqani
Journal of Development Evolution Management,