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dc.contributor.author | Smyrnov, Oleksandr![]() |
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dc.date.accessioned | 2020-01-28T09:12:50Z | |
dc.date.available | 2020-01-28T09:12:50Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Smyrnov, Oleksandr. A multifactorial optimization of personnel scheduling in fleets of seagoing vessels : Master Thesis : manuscript rights / Oleksandr Smyrnov ; Supervisor Dr. Rupert Small ; Ukrainian Catholic University, Department of Computer Sciences. – Lviv : [s.n.], 2020. – 32 p. : ill. | uk |
dc.identifier.uri | http://er.ucu.edu.ua/handle/1/1899 | |
dc.language.iso | en | uk |
dc.subject | multifactorial optimization | uk |
dc.subject | Compliancefunction | uk |
dc.subject | Energy Hub System | uk |
dc.title | A multifactorial optimization of personnel scheduling in fleets of seagoing vessels | uk |
dc.type | Preprint | uk |
dc.status | Публікується вперше | uk |
dc.description.abstracten | The maritime industry is huge and consists of a lot of complex processes. It is a consequenceofthefactthatthemaritimeindustryprovidesmostofthegoodstransportation. During transportation, people serve the vessel. And here the problem is raised of the optimal distribution of crew on vessels. This problem can be solved by formalizing the integer programming problem. In practice, we saw that solving this problem is time-consuming, since there are a large number of free variables. This makes the solution inapplicable to the end-user. In this work, we describe the approach to speed up a solution of crew optimization for the maritime industry using the Rolling Time Horizon technique. Our approach is 3.5 times faster than the benchmark, and deviates from the optimal solution by less than 1%. | uk |