Haploid-Diploid Evolution: Nature's Memetic Algorithm
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.
Keywords
Cite
@article{arxiv.1911.07302,
title = {Haploid-Diploid Evolution: Nature's Memetic Algorithm},
author = {Michail-Antisthenis Tsompanas and Larry Bull and Andrew Adamatzky and Igor Balaz},
journal= {arXiv preprint arXiv:1911.07302},
year = {2019}
}
Comments
arXiv admin note: text overlap with arXiv:1903.11598