Figure 6.

Flowchart of the optimization procedure using genetic algorithm. It starts with the initialization phase, which randomly generates the initial population P₀. Population in the next generation P_i+1 is obtained by applying genetic operators on current population P_i. Fitness for each individual (criterion) is evaluated as the number of filtered peptides. Evolution continues until a terminating condition is reached. The selection, mutation and cross-over operator are used in genetic algorithm.