Abstract
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 Triple-Distance 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. © 2011 Springer-Verlag.
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CITATION STYLE
Kou, J., Xiong, S., Liu, H., Zong, X., Wan, S., Liu, Y., … Duan, P. (2011). PSO-based emergency evacuation simulation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6728 LNCS, pp. 234–241). https://doi.org/10.1007/978-3-642-21515-5_28
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