Several metrics and indicators have been suggested in the past to evaluate multi-objective evolutionary and non-evolutionary algo-rithms. 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 parameter-ized with respect to a reference set, on which depend the properties of any metric.
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