Evolutionary algorithms for constrained parameter optimization problems
Evolutionary Computation
Genetic repair strategies inspired by Arabidopsis thaliana
AICS'09 Proceedings of the 20th Irish conference on Artificial intelligence and cognitive science
Explorations on template-directed genetic repair using ancient ancestors and other templates
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
A self-adaptive differential evolution algorithm with constraint sequencing
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
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It has recently been proposed that the model plant, Arabidopsis thaliana(thale cress),uses a newly discovered genetic repair system to repair errors at the genetic level. A. thalianauses information from the grandparent's genes as a basis for this correction --- so genetic information appears to skip a generation. We apply this gene repair strategy to a combinatory optimization problem, firstly comparing the performance of parent and grandparent based repair. Subsequent experiments expand our understanding of the GeneRepair algorithm, by examining the parameters of fitness and direction involved in the generepair process. Our results point to a tentative explanation as to why A. thalianamight have evolved such an apparently complex inheritance process.