[Global Optimization Toolbox] Nonlinear constraint fulfillment in GA

I'm running a code with a number of nonlinear constraints. Will the best population after an each iteration meet all the nonlinear constraints? Or will it be some kind of superposition between the satisfaction of constraints and objective function and meeting the constraints only partly?

Answer 1

[Alan Weiss]

You can read about the nonlinear constraint algorithm here.

Alan Weiss

MATLAB mathematical toolbox documentation