Abstract
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Article Information:
Modeling and Simulation on Co-evolution of Emergency Agents for Unconventional Emergency Water Disaster
Junfei Chen, Guiyun Liu, Huimin Wang and Gaofeng Liu
Corresponding Author: Junfei Chen
Submitted: February 02, 2012
Accepted: April 14, 2012
Published: October 01, 2012 |
Abstract:
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The Unconventional Emergency Water Disaster (UEWD) is a water disaster that the society has not
experienced or experienced few times and lacks the knowledge of its evolution and the experience to deal with
it. The emergency system for UEWD is a complex adaptive system with different kinds of agents. In this study,
we study the co-evolution mechanism of UEWD agents system. A dynamical model based on improved
Logistic model and co-evolution theory is proposed. The impact factors of the emergency ability which mainly
include the initial emergency capacity, the growth rate of the emergency ability, the maximun of the emergency
ability, the quantity of the emergency agents and the coefficients of the competition and cooperation, is
simulated and analyzed. The results show that the emergency ability under the co-stable state has nothing to
do with the initial emergency capacity and the growth rate of the emergency ability. However, the time which
reaches the co-stable state is positively related to the two factors. The maximun of the emergency ability and
the quantity of the emergency agents have impacts on the emergency ability. The degree for the competition
and cooperation among the agents is the key factor that affects the co-stable state of UEWD agents. At the end,
some conclusions and suggestions are given to improve the emergency ability based on the characters of
UEWD and the simulation results.
Key words: Co-evolution , emergency agents, logistic model, simulation, Unconventional Emergency Water Disaster (UEWD), ,
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Cite this Reference:
Junfei Chen, Guiyun Liu, Huimin Wang and Gaofeng Liu, . Modeling and Simulation on Co-evolution of Emergency Agents for Unconventional Emergency Water Disaster. Research Journal of Applied Sciences, Engineering and Technology, (19): 3601-3609.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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