PSO-Based Emergency Evacuation Simulation

نویسندگان

  • Jialiang Kou
  • Shengwu Xiong
  • Hongbing Liu
  • Xinlu Zong
  • Shuzhen Wan
  • Yi Liu
  • Hui Li
  • Pengfei Duan
چکیده

The Emergency Evacuation Simulation (EES) has been increasingly becoming a hotspot in the field of transportation. PSO-based EES is a good choice as its low computation complexity compared with some other algorithms, especially in an emergency. The selection of fitness function of each particle in PSO is a key problem for EES. This paper will introduce some fitness functions for EES and present a new fitness function called TripleDistance Safe Degree (TDSD). Through theoretical analysis and experimental validation, the TDSD is proved to be much better than other fitness functions introduced in this paper.

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تاریخ انتشار 2011