Haploid-Diploid Evolution: Nature's Memetic Algorithm
November 13, 2019 ยท Declared Dead ยท ๐ arXiv.org
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Authors
Michail-Antisthenis Tsompanas, Larry Bull, Andrew Adamatzky, Igor Balaz
arXiv ID
1911.07302
Category
cs.NE: Neural & Evolutionary
Citations
5
Venue
arXiv.org
Last Checked
4 months ago
Abstract
This paper uses a recent explanation for the fundamental haploid-diploid lifecycle of eukaryotic organisms to present a new memetic algorithm that differs from all previous known work using diploid representations. A form of the Baldwin effect has been identified as inherent to the evolutionary mechanisms of eukaryotes and a simplified version is presented here which maintains such behaviour. Using a well-known abstract tuneable model, it is shown that varying fitness landscape ruggedness varies the benefit of haploid-diploid algorithms. Moreover, the methodology is applied to optimise the targeted delivery of a therapeutic compound utilizing nano-particles to cancerous tumour cells with the multicellular simulator PhysiCell.
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