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Currently two high-level search functions are implemented:
evolve and mcmc. The evolve search function has
received much more testing and is recommended.
sel:evolveEvolve the existing sel:*population* of
sel:software objects using a supplied test function to
evaluate the fitness of software objects. A steady state evolutionary
computation algorithm is used to evolve increasingly fit software
objects in a process resembling natural selection.
sel:mcmcPerform Markov chain Monte Carlo search from a supplied
sel:software object using a supplied test function
to evaluate the fitness of software objects. The fitness returned by
the test function is optimized.