Order-based Fitness Functions for Genetic Algorithms Applied to Relevance Feedback

@article{LpezPujalte2003OrderbasedFF,
  title={Order-based Fitness Functions for Genetic Algorithms Applied to Relevance Feedback},
  author={Cristina L{\'o}pez-Pujalte and Vicente P. Guerrero Bote and F{\'e}lix de Moya Aneg{\'o}n},
  journal={JASIST},
  year={2003},
  volume={54},
  pages={152-160}
}
Recently there have been appearing new applications of genetic algorithms to information retrieval, most of them specifically to relevance feedback. The evolution of the possible solutions are guided by fitness functions that are designed as measures of the goodness of the solutions. These functions are naturally the key to achieving a reasonable improvement, and which function is chosen most distinguishes one experiment from another. In previous work, we found that, among the functions… CONTINUE READING
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