Performance indicators in multiobjective optimization

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. (C) 2020 Elsevier B.V. All rights reserved.

Automated summary

In recent years, there has been significant growth in the development of new algorithms for multiobjective optimization, with a large number of performance indicators introduced to measure the quality of Pareto front approximations. A total of 63 performance indicators are reviewed in this work, categorized into four groups based on their properties: cardinality, convergence, distribution, and spread. Applications of these indicators are also presented.