Research on Multi-base Multi-UAV Cooperative Reconnaissance Problem

A multi-objective optimization model multi-base multiple UAVs cooperative reonnaissance problem(M-MUCRP)is presented for multi-base multiple unmanned aerial vehicles(UAVs)cooperative reconnaissance problem,which is more suitable for military applications.M-MUCRP takes the reconnaissance resolution demands and reconnaissance time window constraints into account,as well as the limited number of UAVs with different capabilities located in multiple bases.Then a multi-base multi-UAV cooperaitve recomaissance evolutionary algorithm(M-MUCREA)is proposed.M-MUCREA introduces effective chromosome representation which facilitates crossover and mutation operations.The heuristic information about the targets reconnaissance demands and locations are fully explored to construct initial feasible solutions and prevent the algorithm from converging too slowly.Pareto optimality based selection ensures the efficient multi-objective optimization effort of the algorithm.Elitism mechanism is adopted to prevent losing non-dominated individuals generated during the evolutionary process and speed up the convergence of the algorithm.Problem specific crossover and mutation operators ensure the feasibility of the children and diversify the population so as to prevent the algorithm from falling into local optimum.Simulation results show that the proposed algorithm can solve the problem effectively.