Evolutionary trajectory planner for multiple UAVs in realistic scenarios
IEEE Transactions on Robotics
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This work aims to provide developers of bio-inspired UAV planners with a methodology to perform a systematic analysis of the results of their planners and support their algorithm parameter tuning based on this analysis. With that purpose, we propose to use some generic metrics capable of dealing with different dominance definitions and others that consider the final preferences of the experts. We apply them to a particular problem and show how to use them to identify the best planners within a big set.