Dynamic Distribution of Tasks in Health-Care Scenarios

  • Carolina Zato
  • Ana de Luis
  • Juan F. De Paz
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 90)


This paper presents a multiagent system that use an autonomous deliberative case-based reasoningagent to design an efficient working day. The system has been developed to plan and distribute tasks in a health care scenario, specifically in geriatric residences. This model generates a planning of tasks, minimizing the resources necessary for its accomplishment and obtaining the maximum benefits. For this purpose, the queuing theory and genetic algorithms have been include in a CBRarchitecture to obtain an efficient distribution. To evaluate the model, the obtained results have been compared with a previous method of planning based on neural networks.


multiagent systems queuing theory genetic algorithm task scheduling health-care 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Carolina Zato
    • 1
  • Ana de Luis
    • 1
  • Juan F. De Paz
    • 1
  1. 1.Department of Computer Science and AutomationUniversity of SalamancaSalamancaSpain

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