• Login
    View Item 
    •   Home
    • Brock University Publications & Manuscripts
    • Faculty of Mathematics and Science
    • Computer Science
    • View Item
    •   Home
    • Brock University Publications & Manuscripts
    • Faculty of Mathematics and Science
    • Computer Science
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of BrockUCommunitiesPublication DateAuthorsTitlesSubjectsThis CollectionPublication DateAuthorsTitlesSubjectsProfilesView

    My Account

    LoginRegister

    Statistics

    Display statistics

    Parameter selection for modeling of epidemic networks

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    parameter-selection-modeling.pdf
    Size:
    317.0Kb
    Format:
    PDF
    Download
    Author
    Dube, Michael
    Houghten, Sheridan
    Ashlock, Daniel
    Keyword
    Epidemic modeling
    Genetic algorithm
    
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/10464/17140
    Abstract
    The accurate modeling of epidemics on social contact networks is difficult due to the variation between different epidemics and the large number of parameters inherent to the problem. To reduce complexity, evolutionary computation is used to create a generative representation of the epidemic model. Previous gains from the use of local, verses global, operators are further explored to better balance exploration and exploitation of the genetic algorithm. A typical parameter study is conducted to test this new local operator and the new method of point packing is utilized as a proof of concept to perform a better search of the parameter space. All experiments from both approaches are tested against nine epidemic profiles. The point-packing driven parameter search demonstrates that the algorithm parameters interact substantially and in a non-linear fashion, and also shows that the good parameter settings are problem specific.
    ae974a485f413a2113503eed53cd6c53
    10.1109/cibcb.2018.8404961
    Scopus Count
    Collections
    Computer Science

    entitlement

     
    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.