Reactive tabu search in unmanned aerial reconnaissance simulations
Proceedings of the 30th conference on Winter simulation
Evolutionary path planner for UAVs in realistic environments
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Evolutionary trajectory planner for multiple UAVs in realistic scenarios
IEEE Transactions on Robotics
On the performance comparison of multi-objective evolutionary UAV path planners
Information Sciences: an International Journal
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Multiple UAV cooperative reconnaissance is one of the most important aspects of UAV operations. This paper presents a genetic algorithm(GA) based approach for multiple UAVs cooperative reconnaissance mission planning problem. The objective is to conduct reconnaissance on a set of targets within predefined time windows at minimum cost, while satisfying the reconnaissance resolution demands of the targets, and without violating the maximum travel time for each UAV. A mathematical formulation is presented for the problem, taking the targets reconnaissance resolution demands and time windows constraints into account, which are always ignored in previous approaches. Then a GA based approach is put forward to resolve the problem. Our GA implementation uses integer string as the chromosome representation, and incorporates novel evolutionary operators, including a subsequence crossover operator and a forward insertion mutation operator. Finally the simulation results show the efficiency of our algorithm.