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Polish Information Processing Society
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Annals of Computer Science and Information Systems, Volume 2

Proceedings of the 2014 Federated Conference on Computer Science and Information Systems

Adaptive scheduling in dynamic environments

Hanno Hildmann, Miquel Martin

DOI: http://dx.doi.org/10.15439/2014F357

Citation: Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 2, pages 1331–1336 (2014)

Full text

Abstract. We present a method for fair agent scheduling in transportation scenarios. The approach is designed to first ensure the scheduling of all required task locations and, once this is achieved, focus on a balancing the workload across the population of transportation units. This, while almost certainly sub-optimal in the context of efficiency, facilitates the speedy allocation of new geographically located tasks due to the distribution of the remaining capacity across the agent population. We discuss our method, present results from simulations and discuss the advantages and disadvantages of the approach.