Stag Monotone Experimental Design Algorithm (SMEDAL)

In using a computer simulation to gain insight into a planning problem, repeated runs over a range of input variables can be used to develop a picture of the general response of the system being studied. SMEDAL was developed to help organize such studies and in particular to eliminate redundant computer runs. If the planning problem can be interpreted as a question of feasibility (i.e., will we win or lose?) and if the system under study exhibits a “monotone” property, then SMEDAL can be applied. Furthermore, SMEDAL is not limited to computer applications but can be used to save effort in any such study.

• 저널Management Science · 20(2) · 214–220
• 토픽Optimal Experimental Design Methods · Management Science and Operations Research
• DOI10.1287/mnsc.20.2.214
• 저자Alexander P. Morgan