Non-Epsilon Dominated Evolutionary Algorithm for the Set of Approximate Solutions

Non-Epsilon Dominated Evolutionary Algorithm for the Set of Approximate Solutions

In this paper, we present a novel evolutionary algorithm for the computation of approximate solutions for multi-objective optimization problems. These solutions are of particular interest to the decision-maker as backup solutions since they can provide solutions with similar quality but in different...

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Bibliographic Details
Main Authors:	Carlos Ignacio Hernández Castellanos, Oliver Schütze, Jian-Qiao Sun, Sina Ober-Blöbaum
Format:	Article
Language:	English
Published:	MDPI AG 2020-01-01
Series:	Mathematical and Computational Applications
Subjects:	evolutionary multi-objective optimization nearly optimal solutions non-uniform beams
Online Access:	https://www.mdpi.com/2297-8747/25/1/3

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