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

Authors:
Jialiang Kou;Shengwu Xiong;Zhixiang Fang;Xinlu Zong;Zhong Chen
Affiliations:
School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China;School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China;State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China;School of Computer Science and Technology, Hubei University of Technology, Wuhan, China;School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China
Venue:
Computational Intelligence and Neuroscience
Year:
2013

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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. InWuhan 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.