The Use of Neutral Genotype-Phenotype Mappings for Improved Evolutionary Search
BT Technology Journal
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EH '00 Proceedings of the 2nd NASA/DoD workshop on Evolvable Hardware
On the practical limits of the evolutionary digital filter design at the gate level
EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
Evolutionary design of gate-level polymorphic digital circuits
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
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In this paper extended Hamming distance is introduced to construct the search space. According to the features of this space, a hierarchical mutation strategy is developed for the purpose of enlarging the search area with less computation effort. A local learning principle is proposed. This principle is used to ensure that no mutation operates on the same locus of chromosomes within one generation. An evaluation method called fitness effort for calculating computational effort per increased fitness value is also given. Experimental results show that the proposed hybrid approach of hierarchical mutation and local learning can achieve better performance than traditional methods.