The number of output solution set is not equals to pop size

[superyue72]

Hi there

I'm using the NSGA2, RNSGA2, and SMSEMOA from Pymoo.

I set the pop size as 100, but the solution generated by the algorithm contains less than 100 solutions. Sometimes even less than 10.

For example, as shown in the figure, I got 23 solutions, but I set the pop size to 100.

Does anyone know why this would happen? How could I revise it?

Many thanks!

[blankjul]

Yes the algorithm only returns the non-dominated set of solutions. You can get the res.pop object to get the whole population as well.