Journal of Northeastern University Natural Science ›› 2020, Vol. 41 ›› Issue (6): 761-766.DOI: 10.12068/j.issn.1005-3026.2020.06.001

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Multi-objective Planning of Personnel Evacuation Route in Complex Building Fire

ZHANG Li-jie1,2, LIU Jian-chang1, TAN Shu-bin1   

  1. 1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China; 2. School of Continuing Education, Ningxia Institute of Science and Technology, Shizuishan 753000, China.
  • Received:2019-09-16 Revised:2019-09-16 Online:2020-06-15 Published:2020-06-12
  • Contact: ZHANG Li-jie
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Abstract: Aiming at the strategy of personnel evacuation dynamic path optimization in complex building fire, the path optimizing model with the shortest time, the maximum evacuation capacity and the minimum risk level as the optimization objective was constructed, which was based on the dynamic evacuation network data model in fire situation and combined with the network flow optimization and swarm intelligence method. Dynamic evacuation path planning with limited node and path capacity was realized by the modified adaptive fruit fly optimization algorithm. Through the performance test and evacuation process experiment on the established model, the effectiveness of the multi-objective path optimization model was verified. The experimental results also indicates that the multi-objective path planning strategy is closer to the evacuation practice in complex building fire. It is feasible for planning complex space evacuation path under the influence of uncertain factors.

Key words: complex building, evacuation route, multi-objective planning, fruit fly optimization algorithm(FOA)

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