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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2013 Vol.3(5): 435-439 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2013.V3.355

Tactics for Evacuating from an Affected Area

Qi Wei, Lijuan Wang, and Bo Jiang
Abstract—This paper considers the problem faced by a group of evacuees must leave from an affected area as quickly as possible. We seek efficient tactics that achieve a bounded ratio of evacuation time without boundary information to that with. Specially, evacuees can communicate with each other during the evacuation. In this paper, we restrict the affected area to a convex region in the plane. We analyze this problem in two scenarios: general plane and plane in grid network. In these two scenarios, we present new efficient tactics and analyze the evacuate ratio of tactics, respectively.

Index Terms—Evacuation tactic, ratio, convex region, grid network.

Qi Wei and Bo Jiang are with the School of information Science and Technology, Dalian Maritime University, Dalian, China (e-mail: qwei2009@163.com, 373361442@qq.com). Lijuan Wang is with the School of information Science and Technology, Dalian Institute of Science and Technology, Dalian, China (e-mail: 11730794@qq.com).

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Cite:Qi Wei, Lijuan Wang, and Bo Jiang, "Tactics for Evacuating from an Affected Area," International Journal of Machine Learning and Computing vol.3, no. 5, pp. 435-439, 2013.

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