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)?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)? 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)? globalsearch, fmincon, sqpinterface MATLAB Answers — New Questions

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