Before revision:  In this respect, real GRNs are rare among "all the possible GRNs" . In this study, we explore the fitness landscape of GRNs and investigate how the robustness emerge in the "well-fitted" GRNs. For that purpose, we employ the Multi-Canonical Monte Carlo method, which can sample GRNs randomly in wide range of fitness. We consider a toy model of GRNs having one input gene and one output gene.
After revision:  In this respect, real GRNs are rare among "all the possible GRNs" . In this study, we explore the fitness landscape of GRNs and investigated how robustness emerged in highly-fit GRNs. We considered a toy model of GRNs having one input gene and one output gene.