RT Journal Article
T1 On the performance comparison of multi-objective evolutionary UAV path planners
A1 Torre, Luis de la
A1 Moreno, Alejandro
A1 Besada Portas, Eva
A1 Risco Martín, José Luis
AB The big number of evolutionary planners for Unmanned Aerial Vehicles (UAV) that have been developed demonstrates the good acceptance that the evolutionary techniques enjoy within the UAV community. However, the minor or nonexistent statistical characterization of the results obtained by the majority of the planners makes it difficult to assess their actual performance and justify the selection and/or parameterization of their supporting algorithms. To fill the gap, this paper proposes a method for comparing the planners performance by jointly employing several general and problemspecific quality indexes, which take into account the complexity and particularities of the problem. The generality of the performance metrics adopted, which are able to deal with any multi-objective dominance definition, makes them equally applicable to multi-objective planners with different relation operations (such as Pareto dominance, weighted objectives aggregation, and others). The specificity of the other indexes, which consider the types of solutions preferred by the problem experts, makes them especially attractive to
YR 2013
FD 2013
LK https://hdl.handle.net/20.500.14352/113798
UL https://hdl.handle.net/20.500.14352/113798
LA eng
DS Docta Complutense
RD 10 abr 2025