Two Innovative Coalition Formation Models for Dynamic Task Allocation in Disaster Rescues

  • Xing Su
  • Yuechen Wang
  • Xibin Jia
  • Limin Guo
  • Zhiming Ding
Article
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Abstract

This paper addresses the problem of multi-objective coalition formation for task allocation. In disaster rescue, due to the dynamics of environments, heterogeneity and complexity of tasks as well as limited available agents, it is hard for the single-objective and single (task)-to-single (agent) task allocation approaches to handle task allocation in such circumstances. To this end, two multi-objective coalition formation for task allocation models are proposed for disaster rescues in this paper. First, through coalition formation, the proposed models enable agents to cooperatively perform complex tasks that cannot be completed by single agent. In addition, through adjusting the weights of multiple task allocation objectives, the proposed models can employ the linear programming to generate more adaptive task allocation plans, which can satisfy different task allocation requirements in disaster rescue. Finally, through employing the multi-stage task allocation mechanism of the dynamic programming, the proposed models can handle the dynamics of tasks and agents in disaster environments. Experimental results indicate that the proposed models have good performance on coalition formation for task allocation in disaster environments, which can generate suitable task allocation plans according to various objectives of task allocation.

Keywords

Disaster rescues multi-objective linear programming cooperative agents multi-stage task allocation 

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Notes

Acknowledgments

The work is supported by the National Natural Science Foundation of China (Grants No. 61402449, 91546111, 91646201, 61703013), and the Key Project of Beijing Municipal Education Commission (Grants No. KZ201610005009).

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Copyright information

© Systems Engineering Society of China and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Xing Su
    • 1
  • Yuechen Wang
    • 1
  • Xibin Jia
    • 1
  • Limin Guo
    • 1
  • Zhiming Ding
    • 1
  1. 1.Faculty of InformationBeijing University of TechnologyBeijingChina

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