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--- personal:blog:2014:0904_pyomo_for_gams_users [2015/01/12 15:36]
antonello [Constrains]
+++ personal:blog:2014:0904_pyomo_for_gams_users [2018/06/18 15:11] (current)
@@ Line 1: / Line 1: @@
 ====== A Pyomo tutorial for GAMS users ======
+**Updates:**
+  * **2015.01.12: Updated to run under Pyomo 4. See previous revisions if you still use Pyomo 3.**
 [[https://software.sandia.gov/trac/coopr|Pyomo]] (Python Optimisation Modeling Object) is an Algebraic Modelling Language (AML) that allows to write optimisation problems using a concise mathematical formulation, acting as interface to the specific solver engine API. For non-linear optimisation problems it allows to keep a high-level approach that doesn't require the modeller to compute the Jacobian or the Hessian.\\
@@ Line 22: / Line 28: @@
 ===== Installation =====
-**Important: Pyomo requires python 2.x. While python 3.x support is work in progress, at the moment only python 2.x is supported.**
+**<del>Important: Pyomo requires python 2.x. While python 3.x support is work in progress, at the moment only python 2.x is supported.</del>**
+//This isn't true any more with Pyomo 4, where support for Python 3.x has been added..//
 ==== Ubuntu ====
@@ Line 180: / Line 188: @@
 If you want advanced features and debugging capabilities you can use a dedicated Python IDE, like e.g. [[https://code.google.com/p/spyderlib/|Spyder]].
-You will normally run the script as ''pyomo --solver=glpk transport.py''. You can output solver specific output adding the option ''--stream-output''.\\
+You will normally run the script as ''pyomo solve --solver=glpk transport.py''. You can output solver specific output adding the option ''--stream-output''.\\
 If you want to run the script as ''python transport.py'' add the following lines at the end:\\
 <code python>
@@ Line 187: / Line 195: @@
 if __name__ == '__main__':
     #This replicates what the pyomo command-line tools does
-    from coopr.opt import SolverFactory
+    from pyomo.opt import SolverFactory
-    import coopr.environ
+    import pyomo.environ
     opt = SolverFactory("glpk")
     instance = model.create()