A genetic algorithm with a multi-layered genotype-phenotype mapping
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Hill, Seamus , & O'Riordan, Colm (2010). genetic algorithm with a multi-layered genotype-phenotype mapping. Paper presented at the International Conference on Evolutionary Computation (ICEC 2010), Valencia, Spain, 24-26 October, In Proceedings of the International Conference on Evolutionary Computation - Volume 1: ICEC, (IJCCI 2010), pages 369-372. DOI: 10.5220/0003086203690372
In this paper we investigate the introduction of a multiple-layer genotype-phenotype mapping to a Genetic Algorithm (GA) which attempts to mimic more closely, the effects of nature. The motivation for introducing multiple-layers into the genotype-phenotype mapping is to create a many-to-one genotype-phenotype mapping. The paper compares a traditional GA with a GA containing a multi-layered genotype-phenotype mapping using a number of well understood problems in an attempt to illustrate the potential benefits of including the multilayered mapping. Initial findings suggest that the multi-layered mapping between the genotype-phenotype used in conjunction with a binary representation outperforms existing traditional GA approaches on well known problems, while still allowing the use well understood genetic operators.