Genetic algorithm dynamics on a rugged landscape
Stefan Bornholdt · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 1998
The genetic algorithm is an optimization procedure motivated by biological evolution and is successfully applied to optimization problems in different areas. A statistical mechanics model for its dynamics is proposed based on the parent-child fitness correlation of the genetic operators, making it applicable to general fitness landscapes. It is compared to a recent model based on a maximum entropy ansatz. Finally it is applied to modeling the dynamics of a genetic algorithm on the rugged fitness landscape of the NK model.