Abstract
Genetic algorithms can be used in combination with multi-agent monitoring and data collection technologies for compiling and adjusting the dynamically changing work schedule of an economic entity with complex internal infrastructure. In this case, the important issue is the quality of the drawn-up schedule and its monitoring. The article reviews the possibility of applying the method of randomized summary indicators for assessing the quality of the compiled and dynamically adjusted service schedules for ships in the seaport.
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Olga, V., Vladimir, K., Artur, A. (2020). Improving Quality of Seaport’s Work Schedule: Using Aggregated Indices Randomization Method. In: Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Fourth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’19). IITI 2019. Advances in Intelligent Systems and Computing, vol 1156. Springer, Cham. https://doi.org/10.1007/978-3-030-50097-9_52
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