Optimizing ATM Cash Management by Genetic Algorithms
نویسندگان
چکیده
The paper investigates the optimization of ATM cash by means of genetic algorithm in order to produce optimal upload strategies able to minimize the daily amount of stocked money, still assuring cash dispensing service. We provide experimental evidence of benefits obtained by the proposed approach in terms of lower financial costs and more rational cash management. In particular we considered as test bench a pool of 30 ATMs with different characteristics in terms of location, position, cash capacity and usage, representative of the whole set of ATMs operated by Poste Italiane S.p.A.
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