Genetic algorithm dynamics on a rugged landscape
arXiv:cond-mat/9903076 · doi:10.1103/PhysRevE.57.3853
Abstract
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.
10 pages RevTeX, 4 figures PostScript