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

页码：301 / 307

页数：7

共 50 条

[41] Remote Experiments as an Asset for Learning Programming in Python']Python
Guerra, H.
Cardoso, A.
Sousa, V.
Gomes, L. M.
INTERNATIONAL JOURNAL OF ONLINE ENGINEERING, 2016, 12 (04) : 71 - 73
[42] Using BSP and python']python to simplify parallel programming
Hinsen, K
Langtangen, HP
Skavhaug, O
Odegård, A
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING THEORY METHODS AND APPLICATIONS, 2006, 22 (1-2): : 123 - 157
[43] Chatbot to Assist the Learning Process of Programming in Python']Python
Sanchez, Miguel
Ramirez, Gabriel M., V
Arango-Lopez, Jeferson
Moreira, Fernando
INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 2, WORLDCIST 2023, 2024, 800 : 318 - 328
[44] Pyomo: modeling and solving mathematical programs in Python']Python
Hart, William E.
Watson, Jean-Paul
Woodruff, David L.
MATHEMATICAL PROGRAMMING COMPUTATION, 2011, 3 (03) : 219 - 260
[45] Automatic Python']Python Programming using Stack-based Genetic Programming
Park, Hyun Soo
Kim, Kyung Joong
PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTATION COMPANION (GECCO'12), 2012, : 641 - 642
[46] Effect of Block-Based Python']Python Programming Environment on Programming Learning
Kim, Yongcheon
Kim, Jamee
Lee, Wongyu
APPLIED SCIENCES-BASEL, 2023, 13 (19):
[47] A Python']Python script for discontinuity layout optimization
He, Linwei
Schiantella, Mattia
Gilbert, Matthew
Smith, Colin C.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2023, 66 (07)
[48] DISROPT: a Python']Python Framework for Distributed Optimization
Farina, Francesco
Camisa, Andrea
Testa, Andrea
Notarnicola, Ivano
Notarstefano, Giuseppe
IFAC PAPERSONLINE, 2020, 53 (02): : 2666 - 2671
[49] Python']Python Optimization Modeling Objects (Pyomo)
Hart, William E.
OPERATIONS RESEARCH AND CYBER-INFRASTRUCTURE, 2009, : 3 - 19
[50] Suite-CFD: An Array of Fluid Solvers Written in MATLAB and Python']Python
Battista, Nicholas A.
FLUIDS, 2020, 5 (01)

← 1 2 3 4 5 →