Anti-correlation Measures in Genetic Programming
نویسنده
چکیده
We compare three diversity-preserving mechanisms, implicit fitness sharing, negative correlation learning, and a new form, root-quartic negative correlation learning, on a standard genetic programming problem, the 6multiplexer. On this problem, root-quartic negative correlation learning significantly outperforms standard negative correlation learning, and marginally outperforms implicit fitness sharing. We analyse the difference between standard and root-quartic negative correlation learning, and provide a partial explanation for the improved performance.
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