Tasks allocation in TT&C network based on improved ACA

The tasks allocation in TT&C(telemetry, tracking and command)network has the complexity of constraint condition and factors of load balance. It has characteristic of large scale and distributed framework, which determines the scheduling strategy must be distributed and concurrent. Therefore, an improved algorithm, introduce the crossover operator into the ant colony algorithm, is adopted to solve ant colony algorithm´s deficiency of low efficiency and local optimum. Experimental results show that the proposed algorithm is more superior one in comparison with common ant colony algorithm and genetic algorithm under the same constraint condition.