GA: Genetic Algorithm.

Error: Not enough input arguments. Hey, i am new to ga optimization. please help out here.. Would really appreciate. Thank You.

Answer 1

[Walter Roberson]

In your ga call you need to use @confun instead of confun

You also need to modify confun to return two outputs, even if the second one is just the empty matrix.

[niket shah]

Thank You. I made the correction. i got this,"Optimization terminated: average change in the penalty fitness value less than options.FunctionTolerance but constraints are not satisfied."

Can you please share information as why constraints are not satisfied, and is optimization complete.. I am new to ga. so please help if you can.

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[Matt J]

It couldn't find a solution satisfying the constraints. Maybe your constraints are infeasible. If you know an example point satisfying the constraints, adding it to the initial population might help.

[Walter Roberson]

Sometimes it is difficult to find an initial point that satisfies the constraints . With non-linear constraints it can also be difficult for the optimizer to figure out how it has to manipulate the variables to maintain the constraints: linear constraints are a lot more efficient than nonlinear constraints.