Abstract
The current paper uses a scenario from logistics to show that modern heuristics, and in particular particle swarm optimization (PSO) can significantly add to the improvement of staff scheduling in practice. Rapid, sub-daily planning, which is the focus of our research offers considerable productivity reserves for companies but also creates complex challenges for the planning software. © Springer-Verlag Berlin Heidelberg 2009.
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CITATION STYLE
Nissen, V., & Günther, M. (2009). Staff scheduling with particle swarm optimisation and evolution strategies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5482 LNCS, pp. 228–239). https://doi.org/10.1007/978-3-642-01009-5_20
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