J. Peng,∗,∗∗ C.-J. Tang,∗ C. Li,∗ and J.-J. Hu∗
Chromosome network, CHN-GEP, evolutionary, gene expression programming
This paper proposes a novel evolution algorithm, which is based on a new concept of chromosome hierarchy network in gene expression programming (CHN-GEP). This new algorithm is efficient for real applications, such as the function finding problem and electric circuit evolving. This paper expatiates four aspects about this algorithm: (1) details the algorithm CHN-GEP, based on CHN; (2) implements both a network-call model and a storage structure for CHN-GEP; (3) creates a novel method for converting artificial neural network (ANN) problems to chromosome network problems, and through this method, CHN-GEP solves quickly these problems; (4) Extensive experimentation shows that CHN-GEP can reduce the average evolution generations by 24–53% of the traditional GEP algorithms for function finding problems.
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