GENGUB: A Generator for Linear Programs with Generalized Upper Bound Constraints

Authors

Jeffrey L. Arthur, Oregon State University
James O. Frendewey, Michigan Technological University

Document Type

Article

Publication Date

8-1993

Department

College of Business

Abstract

We report on the development and implementation of a random generator for linear programming (LP) problems. The generator extends previous efforts by considering problems that exhibit a form of special structure often found in real-world applications, namely the presence of generalized upper bound (GUB) constraints. The algorithm allows the user considerable flexibility in the form of the final problems created, and the ability to specify certain problem anomalies at the optimal solution. The generator is of use to those involved in several areas of LP research, including the computational performance of general LP algorithms and the development of methods for detecting special structure such as GUBs within an arbitrary LP.

Publisher's Statement

© 1993

Publication Title

Computers and Operations Research

Recommended Citation

Arthur, J., & Frendewey, J. (1993). GENGUB: A Generator for Linear Programs with Generalized Upper Bound Constraints. Computers and Operations Research, 20(6), 565-573. http://doi.org/10.1016/0305-0548(93)90112-V
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/5669