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- W2899383408 abstract "Banking industry is the backbone of the economy of any country, and it does have many operational issuesOperational Issues as well as other financial issues. As regards to solving operational issuesOperational Issues such as Portfolio optimizationOptimization , 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. EvolutionaryEvolutionary and Swarm OptimizationSwarm optimization (ESO) based techniques play a vital role in solving the above-mentioned operational issuesOperational 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 issuesOperational Issues is very relevant." @default.
- W2899383408 created "2018-11-09" @default.
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- W2899383408 date "2018-11-04" @default.
- W2899383408 modified "2023-09-26" @default.
- W2899383408 title "Evolutionary Computing Applied to Solve Some Operational Issues in Banks" @default.
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- W2899383408 doi "https://doi.org/10.1007/978-3-030-01641-8_3" @default.
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