A knowledge-based system for LP modeling
By: by Daniel R. Dolk
Contributors: Naval Postgraduate School (U.S.)
Publisher: Naval Postgraduate School
Published: 1983
Place of publication: Monterey, Calif
Language: eng
Number of pages: 24
Subjects: Linear programming; Problem solving; Data processing
Other titles: NPS-54-83-012.
Description: The focus of this paper is on linear programming (LP) software in the context of model management and decision support, As a result, we will not be interested in the algorithmic properties of LP or math programming (MP) codes, but rather their applicability to more generalized modeling environments wherein models can be linked or decomposed in a manner which frees the user from having to know the internal representation which the algorithms require. In particular, we will look at the objectives and functions of a generalized model management system and how these require a knowledge-based modeling capability. We will then describe a partial implementation of a knowledge-based modeling system for LP models called the Generalized experimental Math Programming system (GXMP)
Notes: "NPS-54-83-012."

Cover title.

"10 January 1983."

Includes bibliographic references (p. 22)

"Approved for public release; distribution is unlimited."

Technical report; 1983.