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Accessing Parameters

Look at Listing 7 for an example on how to customize optimization parameters. To find out about which operators are implemented and usable, it is again easiest to check out in the GUI, where there are also short descriptions available.


Note that in example 7, there will actually be $ 1,050$ evaluations performed, which is the first multiple of the population size of 150 that exceeds the maximum evaluation limit of $ 1,000$ set. To change the population size before a run, simply set a new population of the target size. Any population will be initialized to contain the given number of individuals by the problem class, usually in a random distribution over the problem range.

Marcel Kronfeld 2011-05-05