Performance indicators in multiobjective optimization
Charles Audet (Charles.Audetgerad.ca)
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.
Keywords: Multiobjective optimizationQuality indicatorsPerformance indicators.
Category 1: Other Topics (Multi-Criteria Optimization )
Category 2: Convex and Nonsmooth Optimization (Nonsmooth Optimization )
Citation: European Journal of Operational Research, Volume 292, Issue 2, Pages 397-422, 2021.
Entry Submitted: 10/25/2018
Modify/Update this entry
|Visitors||Authors||More about us||Links|
Search, Browse the Repository
Give us feedback
|Optimization Journals, Sites, Societies|