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OR-Tools was created by Laurent Perron in 2011. [5]In 2014, Google's open source linear programming solver, GLOP, was released as part of OR-Tools. [1]The CP-SAT solver [6] bundled with OR-Tools has been consistently winning gold medals in the MiniZinc Challenge, [7] an international constraint programming competition.
GEKKO works on all platforms and with Python 2.7 and 3+. By default, the problem is sent to a public server where the solution is computed and returned to Python. There are Windows, MacOS, Linux, and ARM (Raspberry Pi) processor options to solve without an Internet connection.
Gekko - simulation software in Python with machine learning and optimization; GNU Octave - an open-source mathematical modeling and simulation software very similar to using the same language as MATLAB and Freemat. JModelica.org is a free and open source software platform based on the Modelica modeling language.
DMS Software Reengineering Toolkit: Semantic Designs Windows 2001 2.0 Proprietary: DRAKON: Stepan Mitkin cross-platform (Tcl/Tk) 2011 1.27 2016-03-10 Free GeneXus: GeneXus Cross Platform (multiple) 1991 v17 Proprietary: Genshi (templating language) Edgewall Software cross-platform (Python) 2006-08-03 0.5.1 2008-07-09 Jinja (Template engine ...
The Stanford Research Institute Problem Solver, known by its acronym STRIPS, is an automated planner developed by Richard Fikes and Nils Nilsson in 1971 at SRI International. [1] The same name was later used to refer to the formal language of the inputs to this planner.
In 2021, DoorDash used Gurobi, in combination with machine learning, to solve dispatch problems. [ 10 ] In 2023, Air France used Gurobi to power its decision-support tool, which recommends optimal flight and aircraft assignments and can take constraints like fuel consumption and an aircraft’s flying hours into account.
Plant Simulation: Siemens PLM Software: Software that enables the simulation and optimization of production systems and processes. May 3, 2019 [10] Simcad Pro: CreateASoft, Inc Discrete event simulation software. On-The-Fly model changes while the simulation is running. Visual interface with no coding environment. Includes VR and Physics engine.
Pyomo allows users to formulate optimization problems in Python in a manner that is similar to the notation commonly used in mathematical optimization. Pyomo supports an object-oriented style of formulating optimization models, which are defined with a variety of modeling components: sets, scalar and multidimensional parameters, decision variables, objectives, constraints, equations ...