Reference set metrics for multi-objective algorithms

  • Authors:
  • Chilukuri K. Mohan;Kishan G. Mehrotra

  • Affiliations:
  • Department of Electrical Engineering & Computer Science, Syracuse University, Syracuse, NY;Department of Electrical Engineering & Computer Science, Syracuse University, Syracuse, NY

  • Venue:
  • SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
  • Year:
  • 2011

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Abstract

Several metrics and indicators have been suggested in the past to evaluate multi-objective evolutionary and non-evolutionary algorithms. However, these metrics are known to have many problems that make their application sometimes unsound, and sometimes infeasible. This paper proposes a new approach, in which metrics are parameterized with respect to a reference set, on which depend the properties of any metric.