An Empirical Comparison of Some Multiobjective Graph Search Algorithms

نویسندگان

  • Enrique Machuca
  • Lawrence Mandow
  • José-Luis Pérez-de-la-Cruz
  • Amparo Ruiz-Sepúlveda
چکیده

This paper compares empirically the performance in time and space of two multiobjective graph search algorithms, MOA* and NAMOA*. Previous theoretical work has shown that NAMOA* is never worse than MOA*. Now, a statistical analysis is presented on the relative performance of both algorithms in space and time over sets of randomly generated problems.

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تاریخ انتشار 2010