Reducing the risk of Insolvency and costs in the field of banking with the approach of selecting partners
Subject Areas : مدیریتMoussa Azarbad 1 , Amirabbas Shojaie 2 , Farshid Abdi 3 , Vahidreza Ghezavati 4 , kaveh khalili Damqani 5
1 - PhD Student, Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
2 - Associate Professor, Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
3 - Assistant Professor, Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
4 - Associate Professor, Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
5 - Associate Professor, Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
Keywords: Banking, Multi-objective genetic algorithm, Insolvency Risk of Banks, Partner Selection,
Abstract :
Banking is one of the main components of any system and government, and proper management and proper promotion are one of the key factors in the country's economic growth. Banks are exposed to multiple risks as well as lack of control over bank charges; in this regard, appropriate strategies have to be adopted to improve banks' performance in this regard. One of these methods is the selection of partners to divide and reduce risk and share costs, so that they can reduce the Insolvency Risk of Banks and reduce the bank's share of cost control and lead to the bank's growth in financing and ultimately, economic growth in the country. In this research, a multi-objective model for selecting partners in the field of banking has been presented and further optimized using a multi-objective genetic algorithm.In this research, a multi-objective model for selecting partners in the field of banking has been presented and further optimized using a multi-objective genetic algorithm.
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