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"GlobalSearch", for some inputs ends up in "NaN" and sqpInterface and fmincon error

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Hi everyone,
I have a question regarding "GlobalSearch". For some inputs, my code sometimes ends up in "NaN" and the code gives this error:
"Error using sqpInterface
Objective function is undefined at initial point. Fmincon cannot continue.
Error in fmincon (line 871)
[X,FVAL,EXITFLAG,OUTPUT,LAMBDA,GRAD,HESSIAN] = sqpInterface(funfcn,X,full(A),full(B),full(Aeq),full(Beq), ...
Error in globaloptim.globalsearch.globalsearchnlp
Error in GlobalSearch/run (line 340)
globaloptim.globalsearch.globalsearchnlp(FUN,X0,A,B,Aeq,Beq,LB,UB,NONLCON,options,localOptions);
Error in Optimization (line 37)
[A,f] = run(gs,problem);
Caused by:
Failure in initial call to fmincon with user-supplied problem structure."
Of course, we all know that the algorithm checks the different inputs and finally goes to the smallest objective function value (error).
Is there a way to ignore the inputs that give "NaN" results and make the algorithm use other inputs to finally reach to lowest objective function value (error)?
  1 Comment
Walter Roberson
Walter Roberson on 19 Aug 2024 at 19:19
This hints that possibly you might need to tighten your constraints, especially lower bound and upper bound, so that the generated initial values do not fail.

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Answers (1)

Umang Pandey
Umang Pandey on 19 Aug 2024 at 13:06

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