Coevolution and Encoding of Fuzzy Systems, and Multiobjective Optimisation
نویسنده
چکیده
Encoding is a fundamental part of any EA. The solution encoding, and its interactions with the EA’s operators, should be designed to minimise arbitrary search bias. A multidimensional encoding suitable for fully specified fuzzy logic rulebases is investigated, and is shown to have better convergence than traditional single-dimensional encoding. By comparison with 2-point and uniform crossover, the improvement is attributed to the elimination of dimensional encoding bias.
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