Kangbien Park

This paper introduces ten quantitative logics for directed evolution of asexual populations, showing they can accelerate evolution by tenfold with 85% accuracy in simulations.

The paper introduces an algebraic framework to model directed evolution in asexual populations, showing it can predict and optimize the time to reach desired traits.

The paper introduces an operator model to represent evolutionary factors mathematically and demonstrates its application in simulating mutation accumulation under different regimes.