Artificial cells will be capable of autonomous evolution, but to produce the first artificial cell, and to optimize IT functions of artificial cells, the general problem of optimization of the self-organization of chemical systems must be addressed. Whereas section 2 addressed the intrinsic evolution of artificial cells, in this section we concentrate on techniques for their external evolutionary optimization. A key concept is the evolutionary optimization of experimental protocols, in the simplest case mixing protocols. In contrast with conventional combinatorial optimization, the number of experiments is strongly limited, and theoretical work has revealed how to use the statistical information about the success for individual protocols optimally in the search for better ones. This development has many applications beyond artificial cell IT.