Our result shows that in the limit of small mutation rate, the solution remains regular in the spatial variables and yet concentrates in the trait variable and forms a Dirac mass supported at the lowest diffusion rate.
Moreover, the GA method requires the involvement of the operations like crossover and mutation that complicate the solution and slow down the convergence of the solution and also add to the computation cost.
Mutation changes randomly the solution by a fixed amount, causing some new features appear in the solution and others disappear, therefore guaranteeing that all available features will have a chance of being evaluated during a set of generations.
To investigate the efficiency of inducing targeted mutations in medaka, the solution containing 25 ng/µL of sgRNA and 100 ng/µL of Cas9 RNA was injected into fertilized eggs of the d-rR medaka strain.
If the nearest point has not been chosen as the reference point of other solutions, it is just the mutation reference point of the solution; otherwise, the second-nearest one is chosen as its mutation reference point.
This crossover operation will repeat until the number of the new population size reaches P. Step 3--Mutation: To explore more regions within the solution space, mutation should be adopted in the RVGA method [14].
For example, introduction of mutations or alteration of the solution conditions to specifically destabilize the native state allows transient folding intermediates to be trapped at equilibrium and directly analysed using NMR.
To elucidate the structure and local conformation around the mutation site, we have determined the solution structure and characterized the protein's dynamic behavior by NMR.
The disturbance is composed of a mutation step and a factor, which are determined by the differences between the solution and the mutation reference point in the decision space and the objective space, respectively.
If (r < pm,) then the solution is taken for mutation, where pm is the probability of mutation.
