a simulation using pareto optimization and co-evolutionay algorithm, it could be used to solve multiple objective optimization.

an implementation of Coevolutionary algorithm\betterinone.m
.............................................\compare_on_all.m
.............................................\compare_on_one.m
.............................................\compare_symmetric.m
.............................................\delphi.m
.............................................\distinctions.m
.............................................\dominates.m
.............................................\equalorbetterinall.m
.............................................\generatelearners.m
.............................................\generatetests.m
.............................................\init.m
.............................................\mut.m
.............................................\neu.m
.............................................\percep1.m
.............................................\play.m
.............................................\playgames.m
.............................................\Readme.m
.............................................\replace_learners.m
.............................................\replace_tests.m
.............................................\rotate.m
.............................................\rotated_compare_on_one.m
.............................................\SA1.m
.............................................\stats.m
.............................................\STexamp6.m
.............................................\visualize.m
.............................................\wfl.m
an implementation of Coevolutionary algorithm

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