We propose the application of a genotype-phenotype mapping to the solution of constrained optimization problems. The method consists of strictly separating the search space of genotypes from the solution space of phenotypes. A mapping from genotypes into phenotypes provides for the appropriate expression of information represented by the genotypes. The mapping is constructed as to guarantee feasibility of phenotypic solutions for the problem under study. This enforcing of constraints causes multiple genotypes to result in one and the same phenotype.
Neutral variants are therefore frequent and play an important role in maintaining genetic diversity.
Approximate Scaling Properties of RNA Free Energy Landscapes. Very difficult - introduction and conclusion worth a look. The differential equations derived from models of interactive learning typically have stationary states that are not isolated. The stability properties of these components often depend critically on the perturbations to which the system is subjected. We argue that it is then important to incorporate such drift into the model.