A distributed control system (DSC) is critical to improving the thrust-weight ratio and the reliability of turbine based combined cycle (TBCC) engines. A topology of communication network is important for distributed control system(DSC). A topology optimization for TBCC communication networks is proposed based on intelligent algorithms. The engine geometric model and grid model are formed. The optimization index is constructed by system weight and reliability, and constraint conditions are established by considering temperature limitations and reliability of smart nodes. The particle swarm algorithm and the genetic algorithm are employed to optimize positions and the ring topology of central smart nodes, respectively. Finally, a star-ring hybrid topology is obtained. The simulation results show that the new approach reduces the weight of DCS with hybrid topology by 51.9%,compared with that of the centralized control system with a star topology.