PySCIPOpt: Mathematical Programming in Python with the SCIP Optimization Suite

Please always quote using this URN: urn:nbn:de:0297-zib-61348
  • SCIP is a solver for a wide variety of mathematical optimization problems. It is written in C and extendable due to its plug-in based design. However, dealing with all C specifics when extending SCIP can be detrimental to development and testing of new ideas. This paper attempts to provide a remedy by introducing PySCIPOpt, a Python interface to SCIP that enables users to write new SCIP code entirely in Python. We demonstrate how to intuitively model mixed-integer linear and quadratic optimization problems and moreover provide examples on how new Python plug-ins can be added to SCIP.

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Author:Stephen Maher, Matthias Miltenberger, Joao Pedro Pedroso, Daniel Rehfeldt, Robert Schwarz, Felipe Serrano
Document Type:ZIB-Report
Tag:SCIP, Mathematical optimization, Python, Modeling
MSC-Classification:90-XX OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING
CCS-Classification:J. Computer Applications
Date of first Publication:2016/01/12
Series (Serial Number):ZIB-Report (16-64)
ISSN:1438-0064
Published in:Appeared in: Mathematical Software – ICMS 2016, Volume 9725, Pages 301-307
DOI:http://dx.doi.org/10.1007/978-3-319-42432-3_37

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