Abstract
Island models (IMs) have multiple sub-populations which periodically exchange a fraction of individuals. This complex setup results in distinct dynamics of evolution and therefore, IMs are characterized by several interesting properties of IMs with regard to gene linkage, which are presented in this chapter. Traditional single-population evolutionary algorithms (EAs) suffer from a relatively quick and often random gene fixation, due to evolutionary selection, drift and physical linkage of recombination operators. In IMs, additional, slower inter-island level of evolution together with a recurring local evolution inside islands make searching for optimal allele configurations more systematic. In this chapter, it is shown that IM dynamics may counteract hitch-hiking. Further, multiple building blocks may be better identified and combined in IMs, consequently supporting compositional evolution, which is studied on the H-IFF function. Finally, a discussion follows on how the repeated fixation of genes in islands might be treated as a linkage learning process.
Most of the work was done for author’s PhD dissertation.
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Skolicki, Z. (2008). Linkage in Island Models. In: Chen, Yp., Lim, MH. (eds) Linkage in Evolutionary Computation. Studies in Computational Intelligence, vol 157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85068-7_3
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DOI: https://doi.org/10.1007/978-3-540-85068-7_3
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