Xpress Mosel: Modeling and Programming Features for Optimization Projects

Susanne Heipcke () and Yves Colombani ()
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Susanne Heipcke: Xpress Optimization, FICO
Yves Colombani: Xpress Optimization, FICO

A chapter in Operations Research Proceedings 2019, 2020, pp 677-683 from Springer

Abstract: Abstract Important current trends influencing the development of modeling environments include expectations on interconnection between optimization and analytics tools, easy and secure deployment in a web-based, distributed setting and not least, the continuously increasing average and peak sizes of data instances and complexity of problems to be solved. After a short discussion of the history of modeling languages and the contributions made by FICO Xpress Mosel to this evolution, we point to a number of implementation variants for the classical travelling salesman problem (TSP) using different MIP-based solution algorithms as an example of employing Mosel in the context of parallel or distributed computing, for interacting with a MIP solver, and for the graphical visualisation of results. We then highlight some newly introduced features and improvements to the Mosel language that are of particular interest for the development of large-scale optimization applications.

Keywords: Mathematical modeling; Optimization applications; TSP (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/978-3-030-48439-2_82

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