Pyomo: modeling and solving mathematical programs in Python

ACRO: ACRO optimization framework (2009). http://software.sandia.gov/acro

AIMMS: AIMMS home page (2008). http://www.aimms.com

AMPL: AMPL home page (2008). http://www.ampl.com/

Anbalagan, P., Vouk, M.: On reliability analysis of open source software—FEDORA. In: 19th International Symposium on Software Reliability Engineering (2008)

APLEpy: APLEpy: an open source algebraic programming language extension for Python (2005). http://aplepy.sourceforge.net/

Bertsimas D., Tsitsiklis J.N.: Introduction to Linear Optimization. Athena Scientific/Dynamic Ideas, Belmont (1997)

Birge J.R., Louveaux F.: Introduction to Stochastic Programming. Springer, Berlin (1997)

Bonmin: The Bonmin wiki page (2011). https://projects.coin-or.org/Bonmin

BSD: Open Source Initiative (OSI)—the BSD license (2009). http://www.opensource.org/licenses/bsd-license.php

COINOR: COIN-OR home page (2009). http://www.coin-or.org

Forrester Consulting: Open source software’s expanding role in the enterprise (2007). http://www.unisys.com/eprise/main/admin/corporate/doc/Forrester_research-open_source_buying_behaviors.pdf

COOPR: Coopr: A common optimization python repository (2009). http://software.sandia.gov/coopr

CUTEr: Cuter: A constrained and unconstrained testing environment, revisited (2011). http://www.hsl.rl.ac.uk/cuter-www/index.html

CVXOPT: CVXOPT home page (2008). http://abel.ee.ucla.edu/cvxopt

Dimitrov: Nedialki Dimitrov, naval postgraduate school. Personal Communication (2011)

Dolan E.D., Fourer R., Goux J.-P., Munson T.S., Sarich J.: Kestrel: an interface from optimization modeling systems to the NEOS server. INFORMS J Comput 20(4), 525–538 (2008)

FLOPC++: FLOPC++ home page (2008). https://projects.coin-or.org/FlopC++

Fourer R., Gay D.M., Kernighan B.W.: AMPL: a mathematical programming language. Manag. Sci. 36, 519–554 (1990)

Fourer R., Gay D.M., Kernighan B.W.: AMPL: a Modeling Language for Mathematical Programming, 2nd edn. Brooks/Cole Thomson Learning, Pacific Grove (2003)

Fourer R., Ma J., Martin K.: Optimization services: a framework for distributed optimization. Oper. Res. 58(6), 1624–1636 (2010)

GAMS: GAMS home page (2008). http://www.gams.com

Geoffrion A.M.: An introduction to structured modeling. Manag. Sci. 33(5), 547–588 (1987)

GLPK: GLPK: GNU linear programming toolkit (2009). http://www.gnu.org/software/glpk/

GPL: GNU general public license (2009). http://www.gnu.org/licenses/gpl.html

Hackebeil, G., Laird, C.: Global optimization for estimation of on/off seasonality in infectious disease spread using pyomo (2010). https://software.sandia.gov/trac/coopr/attachment/wiki/Pyomo/global_opt.pptx

Hart, W.E.: Python Optimization Modeling Objects (Pyomo). In: Chinneck, J.W., Kristjansson, B., Saltzman, M.J. (eds.) Operations Research and Cyber-Infrastructure (2009). doi: 10.1007/978-0-387-88843-9_1

Hart W.E., Phillips C.A., Berry J., Boman E.G. et al.: US Environmental Protection Agency uses operations research to reduce contamination risks in drinking water. INFORMS Interfaces 39, 57–68 (2009)

Hebrard, E., O’Mahony, E., O’Sullivan, B.: Constraint Programming and Combinatorial Optimisation in Numberjack. In: Lodi, A., Milano, M., Toth, P. (eds.) Proceedings of CPAIOR 2010, LNCS, vol. 6140. Springer, Berlin (2010)

Ipopt: The Ipopt wiki page (2011). https://projects.coin-or.org/Ipopt

Jones, E., Oliphant, T., Peterson, P., et al.: SciPy: open source scientific tools for Python (2009). http://www.scipy.org/

Kallrath J.: Modeling Languages in Mathematical Optimization. Kluwer, Dordrecht (2004)

Karabuk, S., Grant, F.H.: A common medium for programming operations-research models. In: Proceedings of the IEEE Software, pp. 39–47 (2007)

Marsten R.E.: The design of the XMP linear programming library. ACM Trans. Math. Softw. 7(4), 481–497 (1981)

Oliphant, T.E.: Python for scientific computing. Computing in Science and Engineering, pp. 10–20 (2007)

OpenOpt: OpenOpt home page (2008). http://scipy.org/scipy/scikits/wiki/OpenOpt

OptimJ: Ateji home page (2008). http://www.ateji.com

Ortools: Google OR tools—operations research tools developed at Google (2011). http://code.google.com/p/or-tools

Prechelt, L.: An empirical comparison of seven programming languages. Computer 33(10), 23–29 (2000). doi: 10.1109/2.876288 . ISSN: 0018-9162

Psyco: Psyco (2008). http://psyco.sourceforge.net/

PuLP: PuLP: a Python linear programming modeler (2008). http://130.216.209.237/engsci392/pulp/FrontPage

PyMathProg: PyMathProg home page (2009). http://pymprog.sourceforge.net/

PyPI: Python package index (2009). http://pypi.python.org/pypi

PYRO: PYRO: Python remote objects (2009). http://pyro.sourceforge.net

Python: Python programming language—official website (2009). http://python.org

PythonVSJava: Python & Java: a side-by-side comparison (2008). http://www.ferg.org/projects/python_java_side-by-side.html

PyUtilib: PyUtilib optimization framework (2009). http://software.sandia.gov/pyutilib

Roelofs, M., Bisschop, J.: AIMMS 3.9—The User’s Guide (2009). http://lulu.com

Sayfan, G.: Building your own plugin framework. Dr. Dobbs J. (2007)

Shapiro, A., Dentcheva, D., Ruszczynski, A.: Lectures on Stochastic Programming: Modeling and Theory. Society for Industrial and Applied Mathematics (2009)

Sage, W.S.: Open Source Mathematical Software (Version 2.10.2). The Sage Group (2008). http://www.sagemath.org

Szyperski C.: Component Software: Beyond Object-Oriented Programming. ACM Press, New York (1998)

TOMLAB: TOMLAB optimization environment (2008). http://www.tomopt.com/tomlab

Tratt L.: Dynamically typed languages. Adv. Comput. 77, 149–184 (2009)

Watson, J.-P., Woodruff, D.L., Hart, W.E.: Pysp: modeling and solving stochastic programs in python (2010). https://software.sandia.gov/trac/coopr/attachment/wiki/PySP/pysp_jnl.pdf

YAML: The official YAML web site (2009). http://yaml.org/

Zhou Y., Davis J.: Open source software reliability model: an empirical approach. ACM SIGSOFT Softw. Eng. Notes 30, 1–6 (2005)