Test Problems for Computational Experiments -- Issues and Techniques

This paper compares and contrasts real world and random generated test problems as sources of standard tests for mathematical programming algorithms. Real problems are viewed as realizations from a test population of interest, and random problems are treated as models for the population. Methodological advantages and difficulties inherent in the alternatives are highlighted, and methods for dealing with the limitations discussed.