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In this paper the Crew Rostering Problem (CRP) from a Brazilian public transit company is modeled and solved by a Genetic Algorithm (GA). The CRP consists of assigning duties on weekdays, Saturdays and Sundays to the crew members of a company over a given planning horizon, minimizing the number of crews and also balancing the workload of the crews, reducing the total number of accumulated overtime...
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