Multi-objective Evolutionary Simulation- Optimization of Personnel Scheduling
نویسندگان
چکیده
This paper presents an evolutionary multi-objective simulation-optimization system for personnel scheduling. The system is developed for the Swedish postal services and aims at finding personnel schedules that minimizes both total man hours and the administrative burden of the person responsible for handling schedules. For the optimization, the multi-objective evolutionary algorithm NSGA-II is implemented. In order to make the optimization fast enough, a two-level parallelisation model is being adopted. The simulation-optimization system is evaluated on a real-world test case and results from the evaluation shows that the algorithm is successful in optimizing the problem.
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