Name
Title | ||
|---|---|---|
Multiobjective optimization of evacuation routes in stadium using superposed potential field network based ACO. |
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1155/2013/369016 | Comp. Int. and Neurosc. |
Keywords | Field | DocType |
superposed potential field network,optimal evacuation route,evacuation zone,multi-objective evacuation route,multiple evacuation objective,multiobjective evacuation route,evacuation objective,spfn-aco algorithm,traditional aco algorithm,hmerp-aco algorithm,evacuation efficiency,multiobjective optimization | Stadium,Computer science,Rescue work,Multi-objective optimization,Artificial intelligence,Optimization problem,Potential field | Journal |
Volume | ISSN | Citations |
2013 | 1687-5273 | 1 |
PageRank | References | Authors |
0.37 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jialiang Kou | 1 | 11 | 2.91 |
| Shengwu Xiong | 2 | 189 | 53.59 |
| Zhixiang Fang | 3 | 88 | 17.90 |
| Xinlu Zong | 4 | 35 | 5.04 |
| Zhong Chen | 5 | 5 | 2.12 |