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11 - Computer Science and Informatics
Keele University
Theory and practice of optimal mutation rate control in Hamming spaces of DNA sequences
<28>This paper generalizes Fisher's famous 1930's geometric phenotypic model of adaptation to a genetic model and derives probability of adaptation as a function of mutation rate, and optimal mutation rate functions for artificial landscapes. Further, these theoretical functions are evaluated against optimal mutation functions evolved using a meta-genetic algorithm. Experimental results verify the new theory, in both artificial landscapes and a natural landscape defined by DNA-transcription factor affinities. The work was undertaken within EPSRC project EP/H031936/1 and formed the essential theoretical underpinning to our recently awarded BBSRC grant (BB/L009579/1) which seeks to advance knowledge of how bacteria evolve antibiotic resistance.