FitzGerald, Amy and O'Donoghue, Diarmuid
Biologically Inspired Non-Mendelian Repair for Constraint
Handling in Evolutionary Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO).
This paper examines a repair technique that enables evolutionary
algorithms to handle constraints. This repair technique, known as
GeneRepair, repairs invalid individuals so that all problem
constraints are met by every individual in the population.
GeneRepair is based on the repair technique used by the
Arabidopsis thaliana plant which was proposed by Lolle et al in
2005. This controversial repair method uses information inherited
from ancestors previous to the parent (non-Mendelian inheritance)
as a repair template to fix errors or invalidities in the current
population. We compare the use of three different ancestors as
repair templates and investigate the effects of various biological
parameters on the choice of repair template to use.
||Biologically Inspired Non-Mendelian Repair; Constraint
Handling; Evolutionary Algorithms;
||Faculty of Science and Engineering > Computer Science
Dr. Diarmuid O'Donoghue
||09 Feb 2011 11:37
|Journal or Publication Title:
||Proceedings of the Genetic and Evolutionary Computation Conference (GECCO)
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