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.
authors.affiliation: School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070, China.
authors.forename: Jialiang
authors.initials: J
authors.lastname: Kou
authors.forename: Shengwu
authors.initials: S
authors.lastname: Xiong
authors.forename: Zhixiang
authors.initials: Z
authors.lastname: Fang
authors.forename: Xinlu
authors.initials: X
authors.lastname: Zong
authors.forename: Zhong
authors.initials: Z
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D006801:Humans; D008962:Models, Theoretical; D018635:Rescue Work / Q000379:methods*