  Control problem in a biological system is the problem of finding an
interventional policy for changing the state of the biological system from an
undesirable state, e.g. disease, into a desirable healthy state. Boolean
networks are utilized as mathematical model for gene regulatory networks. This
paper provides an algorithm to solve the control problem in Boolean networks.
The proposed algorithm is implemented and applied on two biological systems:
T-cell receptor network and Drosophila melanogaster network. Results show that
the proposed algorithm works faster in solving the control problem over these
networks, while having similar accuracy, in comparison to previous methods.
