Performance indicators in multiobjective optimization

By Charles Audet, Sébastien Le Digabel, Dominique Cartier, Jean Bigeon, Ludovic Salomon. European Journal of Operational Research, 2018

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Abstract In recent years, the development of new algorithms for multiobjective optimization has considerably grown. A large number of performance indicators has been introduced to measure the quality of Pareto front approximations produced by these algorithms. In this work, we propose a review of a total of 63 performance indicators partitioned into four groups according to their properties: cardinality, convergence, distribution and spread. Applications of these indicators are presented as well.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/6602039f42d77227644f3231dd7cd9fb1ae0abdb