Fig. 2From: Designing minimal microbial strains of desired functionality using a genetic algorithmGA example. Running the GA on the given toy network of 11 EFMs with the aim of maximizing production of P. The initial individuals \(S_i\) and the effect of applying the mutation, crossover and elitism operators to generate new individuals are shown. Here the GA finds the best solution with a fitness of 1.81 and yield (\(Y_{R4}\)) of 1 in the second generationBack to article page