A Bounded Archiver for Hausdorff Approximations of the Pareto Front for Multi-Objective Evolutionary Algorithms

A Bounded Archiver for Hausdorff Approximations of the Pareto Front for Multi-Objective Evolutionary Algorithms

Multi-objective evolutionary algorithms (MOEAs) have been successfully applied for the numerical treatment of multi-objective optimization problems (MOP) during the last three decades. One important task within MOEAs is the archiving (or selection) of the computed candidate solutions, since one can...

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Bibliographic Details
Main Authors: Carlos Ignacio Hernández Castellanos, Oliver Schütze
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Mathematical and Computational Applications
Subjects:
evolutionary multi-objective optimization
archiving
convergence
Online Access:https://www.mdpi.com/2297-8747/27/3/48

Internet

https://www.mdpi.com/2297-8747/27/3/48

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