Proceedings of the National Academy of Sciences · 1993 · 44 citations · 10 references
Life SciencesEvolutionary BiologyGeneticsDna ReplicationEvolutionary GeneticsEvolutionary TheoryEvolutionEvolutionary ComputationEvolutionary OptimizationMutation-selection BalanceNatural SelectionGenetic Selection PressureMutational ConstraintSmall Population EffectsSmall Population Size
Evolution is, in a sense, to resolve optimization problems. Our neo-Darwinian algorithm based on the mechanics of inheritance and natural selection uses double-stranded DNA-type genetic information to resolve the "knap-sack problem." The algorithm with asymmetrical mutations due to semiconservative DNA-type replication most effectively resolved the problem. Our results strongly suggest that disparity in mutations caused by the asymmetric machinery of DNA replication promotes evolution, in particular of diploid organisms with a high mutation rate, in a small population, and under strong selection pressure.
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Genetic algorithms in search, optimization, and machine learning
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Spontaneous Mutation: Comparative Rates of Spontaneous Mutation
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