چکیده (انگلیسی):

In this study, we propose an Interactive Evolutionary Computation system to design gene networks for
synthetic biology, of which the objective is to construct new organisms through the artificial synthesis of
gene networks. Wet laboratories typically design gene networks through trial and error methods, which
makes the construction of complex networks difficult. As a solution, automation can significantly improve
the efficiency of identification of useful networks. However, guidance and feedback from biologists are
required for the automation of this process, primarily because models that are sufficiently accurate at
precisely simulating network behavior do not exist yet. Therefore, we have implemented an Interactive
Evolutionary Computation system that allows the automation of the gene network design task while
incorporating expert knowledge. Our results show that the system can efficiently design oscillating
networks and can successfully identify complex networks, which are difficult to generate manually.