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Comput Intell Neurosci. 2013;2013:369016. doi: 10.1155/2013/369016. Epub 2013 Jun 19.

Multiobjective optimization of evacuation routes in stadium using superposed potential field network based ACO.

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1
School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070, China.

Abstract

Multiobjective evacuation routes optimization problem is defined to find out optimal evacuation routes for a group of evacuees under multiple evacuation objectives. For improving the evacuation efficiency, we abstracted the evacuation zone as a superposed potential field network (SPFN), and we presented SPFN-based ACO algorithm (SPFN-ACO) to solve this problem based on the proposed model. In Wuhan Sports Center case, we compared SPFN-ACO algorithm with HMERP-ACO algorithm and traditional ACO algorithm under three evacuation objectives, namely, total evacuation time, total evacuation route length, and cumulative congestion degree. The experimental results show that SPFN-ACO algorithm has a better performance while comparing with HMERP-ACO algorithm and traditional ACO algorithm for solving multi-objective evacuation routes optimization problem.

PMID:
23861678
PMCID:
PMC3703855
DOI:
10.1155/2013/369016
[Indexed for MEDLINE]
Free PMC Article
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