Heterogeneous multi-UAVs cooperative task assignment based on GSA-GA

摘要

Aiming at the problem of heterogeneous multi-UAVs' cooperative task assignment when accomplishing attack and damage evaluation tasks. We put forward a hybrid algorithm GSA-GA (Gravitation Search Algorithm - Genetic Algorithm), which is a combination of the gravitation search algorithm and genetic algorithm. In this hybrid algorithm, a new code and decode scheme for the GSA particles are given. We adopt the operation of selection, crossover and mutation that is used in genetic algorithm for the position updates strategy of the GSA particles. The simulation results show that the GSA-GA algorithm is more suitable for the multi-UAV's cooperation task assignment problems. That could find the best solution fleetly and stably.