Warning: Model status 13: Error no solution, Solver status 9: Error: Setup failure (see message window).

  • 22 August 2022
  • 3 replies
  • 158 views
L
Userlevel 1
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Hello everyone,

Trust you are doing well?

I am presently working on an academic research that involves optimal sizing of energy systems using AIMMS academic license. 

I have the message in bold print below displayed on the warning bar while the picture attached is the snapshot of the progress window. 

Warning: Model status 13: Error no solution, Solver status 9: Error: Setup failure (see message window).
 

Kindly support. 

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3 replies

Marcel Hunting
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Hi @Lawrence. The Message Window will likely show that your QCP model is non-convex. To solve non-convex QCP models with CPLEX you have to set the CPLEX option ‘Solution target’ to ‘Search for global optimum’.

Marcel - AIMMS Optimization Specialist
L
Userlevel 1
Badge +4

Thank you Marcel,

 

I did but still giving error message. 

 

Warning: Model status 13: Error no solution, Solver status 9: Error: Setup failure.
Warning at line 1 in user-defined function section "MainExecution":
Model status 13: Error no solution, Solver status 9: Error: Setup failure.
CPLEX error: CPLEX cannot handle QCP models with quadratic equality constraints like 'Zero_Constraint(01)'
Warning: Model status 13: Error no solution, Solver status 9: Error: Setup failure.
Warning at line 1 in user-defined function section "MainExecution":
Model status 13: Error no solution, Solver status 9: Error: Setup failure.
CPLEX error: CPLEX cannot handle QCP models with quadratic equality constraints like 'Zero_Constraint(01)'
Warning: Model status 13: Error no solution, Solver status 9: Error: Setup failure.
Warning at line 1 in user-defined function section "MainExecution":
Model status 13: Error no solution, Solver status 9: Error: Setup failure.
 

 

Thank you. 

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Marcel Hunting
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Userlevel 5
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Sorry, my mistake. CPLEX cannot handle non-convex QCP models (but it can handle non-convex QP models, after setting the ‘Solution target’ option). A quadratic equality constraint makes the model non-convex.

The solver Gurobi can handle non-convex QCP models but running Gurobi in AIMMS is a bit more hassle because you have to request a Gurobi license from Gurobi Optimization (free for academics). Please note that to solve a non-convex QCP (or QP) you have to set the Gurobi option ‘Nonconvex strategy’ to ‘Translate’.

An alternative is Octeract, which is a global nonlinear solver. Octeract is available as part of the free AIMMS Academic License.

Marcel - AIMMS Optimization Specialist

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