Curves and surfaces for computer aided geometric design: a practical guide
Curves and surfaces for computer aided geometric design: a practical guide
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Signal Processing - Special issue: Fractional signal processing and applications
A genetic algorithm for unmanned aerial vehicle routing
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
MOPSO: a proposal for multiple objective particle swarm optimization
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Route Planning for Unmanned Air Vehicles with Multiple Missions Using an Evolutionary Algorithm
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 03
Collective intelligence and bush fire spotting
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Evolutionary path planner for UAVs in realistic environments
Proceedings of the 10th annual conference on Genetic and evolutionary computation
3-D path planning for the navigation of unmanned aerial vehicles by using evolutionary algorithms
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Genetic algorithm based approach for Multi-UAV cooperative reconnaissance mission planning problem
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
A MPC and genetic algorithm based approach for multiple UAVs cooperative search
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Evolutionary Route Planner for Unmanned Air Vehicles
IEEE Transactions on Robotics
Optimal scheduling for refueling multiple autonomous aerial vehicles
IEEE Transactions on Robotics
Evolutionary algorithm based offline/online path planner for UAV navigation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Performance analysis of multiobjective bio-inspired UAV path planners
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
On the performance comparison of multi-objective evolutionary UAV path planners
Information Sciences: an International Journal
UAV fleet area coverage with network connectivity constraint
Proceedings of the 11th ACM international symposium on Mobility management and wireless access
3D Path Planning for Multiple UAVs for Maximum Information Collection
Journal of Intelligent and Robotic Systems
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This paper presents a path planner for multiple unmanned aerial vehicles (UAVs) based on evolutionary algorithms (EAs) for realistic scenarios. The paths returned by the algorithm fulfill and optimize multiple criteria that 1) are calculated based on the properties of real UAVs, terrains, radars, and missiles and 2) are structured in different levels of priority according to the selected mission. The paths of all the UAVs are obtained with the multiple coordinated agents coevolution EA (MCACEA), which is a general framework that uses an EA per agent (i.e., UAV) that share their optimal solutions to coordinate the evolutions of the EAs populations using cooperation objectives. This planner works omine and online by means of recalculating parts of the original path to avoid unexpected risks while the UAV is flying. Its search space and computation time have been reduced using some special operators in the EAs. The successful results of the paths obtained in multiple scenarios, which are statistically analyzed in the paper, and tested against a simulator that incorporates complex models of the UAVs, radars, and missiles, make us believe that this planner could be used for real-flight missions.