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: *
  • Black Cart Project
  • efs
  • Xmas Project
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
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