[Python] Setting discrete ranges for specific parameters of the design vector (x) to run PSO...

Has anyone worked with the Indago Python module? I couldn't find many information on it besides the official documentation (https://indago.readthedocs.io/index.html).

I'm using it to run the Particle Swarm Optimization and couldn't find a way to set discrete ranges to specific parameters of the design vector (x).

For example, consider a design vector (x) with dimension=5. Therefore the vector x would have 5 parameters (I'm I getting this wrong?). If I wanted to set discrete ranges for these 5 parameters, how could I do it?

I worked with the PyGAD module aswell to run the GA and I could do this by using this configuration:

gene_space=[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
[500, 1000, 1500, 2000, 2500, 3000],
[10, 20, 30, 40, 50, 60, 70, 80, 90, 100],
[0.1, 0.2, 0.3, 0.4],
[0.6, 0.7, 0.8, 0.9]]


Should I be using the pso.minimize_exhaustive insted of the pso.optimize?

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