Performance indicators in multiobjective optimization

Charles Audet

doi:10.1016/j.ejor.2020.11.016

2021-07-01

238

DOI：10.1016/j.ejor.2020.11.016

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摘要

En 中文

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.

Keyword:

Multiobjective optimization

Quality indicators

Performance indicators

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期刊

European Journal of Operational Research

IF:

论文数:

2.2W

被引数:

6.4W

机构

universite de montreal

学者数:

4.6W

论文数: 3.8W

被引数: 46

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