[Global Optimization Toolbox] How does nonlinear constraint influence the population number in GA?

After adding a nonlinear constraint to the optimization problem and defining the population size of 100, I got f-count=5200 after 1 iteration. For the case of population size of 200 I got f-count=10400 after 1 iteration. In the no-constraint case I got f-count=200 for population=100 and f-count=400 for population=200.

Answer 1

[Alan Weiss]

The population size does not change with the existence of nonlinear constraints, but the algorithm does. Look at the penultimate line in the algorithm description:

 Each subproblem solution represents one generation. The number of function evaluations per generation is therefore much higher when using nonlinear constraints than otherwise.

Alan Weiss

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