A generic selection-with-constraints procedure

This paper develops a generic procedure for selection with constraints. The bounds of current selection with constraints are based on user-specified values of the underlying performance measures. In some cases, users have no priori of what the values of the secondary performance measures may be, hence, the specified values may not be accurate. On the basis of the difference between comparison with a standard and comparison with a control, we propose using relative performance measures as constraints. That is, systems having each performance measure within a user-specified amount of the unknown best are considered as feasible systems. An experimental performance evaluation demonstrates the validity and efficiency of the selection-with-constraints procedure.

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