Software for an Intelligent Mathematical Programming System

Matthew J. Saltzman ()
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Matthew J. Saltzman: Clemson University

Chapter Chapter 3 in Harvey J. Greenberg, 2021, pp 47-63 from Springer

Abstract: Abstract Creating and understanding optimization models, instances, and solutions of any significant size present a serious challenge, even to experts in the field. Greenberg pursued an initiative in the 1980s and 1990s to support research and development of computer-assisted technologies to aid decision makers in developing models and investigating model, instance, and solution structures and implications, which he dubbed the Intelligent Mathematical Programming System (IMPS). Among Greenberg’s contributions is a suite of software tools that demonstrated the potential for the initiative, including MODLER (a structured model and instance builder), RANDMOD (a structured randomization tool), and ANALYZE (a system for analyzing the structure of model instances and solutions). This paper surveys the capabilities of these tools and their underlying technologies.

Date: 2021
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DOI: 10.1007/978-3-030-56429-2_3

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