Dynamic multi-objective evolutionary algorithms in noisy environments

Real-world multi-objective optimization problems encounter different types of uncertainty that may affect the quality of solutions. One common type is the stochastic noise that contaminates the objective functions. Another type of uncertainty is the different forms of dynamism including changes in t...

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Bibliographic Details

Published in:	Information sciences Vol. 634; pp. 650 - 664
Main Authors:	Sahmoud, Shaaban, Topcuoglu, Haluk Rahmi
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.07.2023
Subjects:	Change detection Dynamic multi-objective optimization problems Noise detection Noisy optimization problems Uncertainty Uncertainty Change detection Dynamic multi-objective optimization problems Noisy optimization problems Noise detection
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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