Enable flexible random initialization of fitness function at each generation #5
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This PR contains a solution to enable flexible initialization of the fitness function at each generation of the algorithm. This is necessary if one e.g. wants to use a different random sample of the task at each generation.
It is achieved by the option to pass a wrapper around the fitness function to the
optimize
function to enable flexible initialization of the fitness at each generation.This wrapper could for instance be created like this:
Here we created a generator for random samples of input spikes for some task for 100 generations. This generator is passed to the fitness function wrapper. In the
optimize
function, it is called at every generation where it uses the generator to create a new sample of input spikes and initializes the fitness function with this.