Multiobjective optimization of evacuation routes in stadium using superposed potential field network based ACO.
Comput Intell Neurosci
; 2013: 369016, 2013.
Article
em En
| MEDLINE
| ID: mdl-23861678
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.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Simulação por Computador
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Trabalho de Resgate
/
Modelos Teóricos
Limite:
Humans
Idioma:
En
Ano de publicação:
2013
Tipo de documento:
Article