PySCIPOPT: Mathematical Programming in Python']Python with the SCIP Optimization Suite

被引：39
|
作者：
Maher, Stephen [1 ]
Miltenberger, Matthias [1 ]
Pedroso, Joao Pedro [2 ]
Rehfeldt, Daniel [1 ]
Schwarz, Robert [1 ]
Serrano, Felipe [1 ]
机构：
[1] Zuse Inst Berlin, Berlin, Germany
[2] Univ Porto, Fac Ciencias, Oporto, Portugal
来源：
MATHEMATICAL SOFTWARE, ICMS 2016 | 2016年 / 9725卷
关键词：
SCIP; Mathematical optimization; !text type='Python']Python[!/text; Modeling;
D O I：
10.1007/978-3-319-42432-3_37
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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.
引用
收藏
页码：301 / 307
页数：7
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