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Evolutionary Computing Applied to Solve Some Operational Issues in Banks

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Optimization in Industry

Part of the book series: Management and Industrial Engineering ((MINEN))

Abstract

Banking industry is the backbone of the economy of any country, and it does have many operational issues as well as other financial issues. As regards to solving operational issues such as Portfolio optimization , Bankruptcy prediction, FOREX rate prediction, ATM cash replenishment, ATM/Branch location prediction, Interbank payments, liquidity prediction, etc., banking industries are moving away from conventional ways toward more automated and more robust methods. Evolutionary and Swarm Optimization (ESO) based techniques play a vital role in solving the above-mentioned operational issues because they yield global or near-global optimal results. We survey most of the works reported in this space starting from 1998 to 2016. While the application of ESO techniques to solve the business issues is well-documented, the same on the operational issues is very relevant.

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Author information

Authors and Affiliations

  1. Center of Excellence in Analytics, Institute for Development and Research in Banking Technology (IDRBT), Castle Hills Road #1, Masab Tank, Hyderabad, 500057, India

    Gutha Jaya Krishna & Vadlamani Ravi

  2. School of Computer and Information Sciences, University of Hyderabad, Hyderabad, 500046, India

    Gutha Jaya Krishna

Authors
  1. Gutha Jaya Krishna
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  2. Vadlamani Ravi
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Corresponding author

Correspondence to Vadlamani Ravi .

Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, SRM Institute of Science and Technology, Chennai, India

    Shubhabrata Datta

  2. Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal

    J. Paulo Davim

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Krishna, G.J., Ravi, V. (2019). Evolutionary Computing Applied to Solve Some Operational Issues in Banks. In: Datta, S., Davim, J. (eds) Optimization in Industry. Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-01641-8_3

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  • DOI: https://doi.org/10.1007/978-3-030-01641-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01640-1

  • Online ISBN: 978-3-030-01641-8

  • eBook Packages: EngineeringEngineering (R0)

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