FitzGerald, Amy and O'Donoghue, Diarmuid P. and Liu, Xinyu
Genetic Repair Strategies inspired by
Artificial intelligence and cognitive science 20th Irish Conference, AICS 2009, Dublin, Ireland, August 19-21, 2009 : revised selected papers.
Springer Verlag, Berlin, pp. 61-71.
Recent advances in genetics controversially suggest that the
model plant Arabidopsis thaliana performs genetic repair using genetic
information that originates in the individual's grandparent generation.
We apply this ancestral genetic repair strategy within an Evolutionary
Algorithm (EA) to solve a constraint based optimisation problem. Re-
sults indicate that the grandparent based genetic repair strategy out-
performs the parent alternative. Within this framework, we investigate
the impact of storing only the ttest ancestors for use as a repair tem-
plate. The in
uence of performing repair in a xed direction is compared
to randomly varying the direction in which error detection proceeds. Fi-
nally we explore the impact of varying the direction of repair on the
results produced. All results seem to support the non-Mendelian inheri-
tance process suggested by Lolle et al.
||Genetics; Genetic Repair Strategies; Arabidopsis thaliana;
||Faculty of Science and Engineering > Computer Science
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