A hybrid modelling framework to simulate disaster response decisions
by Shengnan Wu; Larry J. Shuman; Bopaya Bidanda; Carey D. Balaban; Ken Sochats
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 4, No. 1, 2012

Abstract: Computer simulations are designed to imitate detailed system operations. They are utilised to evaluate system performance, predict future behaviour, or compare various policy alternatives. Two main streams exist in current simulation research and practise: discrete event simulation (DES) and agent-based simulation (ABS). This paper describes a unique simulation modelling scheme to combine DES and ABS on one integrated platform in order to take advantages of and eliminate the disadvantages of both methods. The hybrid simulation system was designed and developed to study various disaster response problems. Its successful modelling of a major US city proves the capability of the hybrid method for constructing efficient, flexible large-scale simulations.

Online publication date: Sat, 23-Aug-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Advanced Intelligence Paradigms (IJAIP):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com