Mutation and recombination: how they differ—lessons from mathematical analysis
2 PM, 15 Sep 2026
Roman Belavkin explains why mutation slows near an evolutionary optimum, while recombination can keep adaptation moving by reshuffling DNA.
Mutation and recombination are fundamental mechanisms of evolution, generating variation in DNA as organisms replicate. Using geometry and combinatorics, Roman Belavkin compares how each moves DNA sequences towards a fitter target. Mutation becomes less likely to help as the target nears, while recombination remains balanced, suggesting it can complement mutation and sustain evolutionary progress close to an optimum.
Roman Belavkin is an associate professor in informatics at Middlesex University. He studies AI and information dynamics, optimal learning, evolutionary systems and the geometry of information. Beyond academia, he is an electronic musician known as Solar X and a master of kung fu.
