Explanation
For given target values on the quality and cost of service, this BUC aims at finding values of input parameters which allow achieving them based upon the implemented underlying dependencies and probabilities.

Solution offered:
Backward Search for Input Planning

Programs: *
    The explanation of backward search
    Backward search is the process of reasoning backwards in time, from the end of a problem or situation, to determine a sequence of optimal actions. This method is working backward from the goal to find the best matches solutions. You should set your desired outputs for Cost and Quality of Service model and the running configuration of the algorithm in this page.

    Running duration (seconds) *
    Number of solutions *
    Desired value for high state cost *
    Desired value for high state quality of service *
    Desired value for medium state cost *
    Desired value for medium state quality of service *
    Desired value for low state cost *
    Desired value for low state quality of service *



    View input variables

    Program
    Scenario Name
    Cost
    Quality of Service
    Weighted sum
    High
    Medium
    Low
    Weighted sum
    High
    Medium
    Low
    No records found.
    Navigation