evolutionary-algorithms

Current type hints are using np.array which is... actually not a even class, but a convenience function for creation of np.ndarray.
But instead of just substituting usages of np.array, it's better to use types from numpy.typing module, which was introduced in Numpy 1.20. (https://numpy.org/devdocs/reference/typing.html#module-numpy.typing). Besides parameterized NDArray[DType] it also i

One of the strengths of evolution strategy algorithm is its linear scalability.
Thus it would be great to have this implemented in Evostra.

Some problems/algorithms seem to have an inconsistent python exposition in terms of types.

For instance, in ../src/problems/dtlz.cpp we have:

dtlz::dtlz(unsigned prob_id, vector_double::size_type dim, vector_double::size_type fdim, unsigned alpha)

But in the ../pygmo/expose_problems_0.cpp it is exposed as:

dtlz_p.def(bp::init<unsigned, unsigned, unsigned, unsigned>

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