On Heuristic Mapping of Decision Surfaces for Post-Evaluation Analysis

Authors:
Major Bill Branley;Russell Fradin;Steven O. Kimbrough;Tate Shafer
Affiliations:
-;-;-;-
Venue:
HICSS '97 Proceedings of the 30th Hawaii International Conference on System Sciences: Advanced Technology Track - Volume 5
Year:
1997

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Abstract

The value for decision making of high-quality post-solution analysis of decision-supporting models canhardly be overestimated. Candle-lighting analysis(CLA) takes this notion very seriously and brings tothe table a series of computational approaches for gaining insight into decision problems by performing heuristic mapping of decision surfaces for management science models. The principal aims of this paper are topresent, illustrate, and demonstrate the value, and extensive range, of candle-lighting analysis (CLA) ideasin the context of a new decision support system, CLAP-NT. In addition to illustrating how heuristic decisionsurface maps may be used for post-evaluation analysis,we present preliminary results comparing the efficacy ofa genetic algorithm and a random search for mappingdecision surfaces.