An ensemble learning based prediction strategy for dynamic multi-objective optimization
Prediction strategies are widely-used in dynamic multi-objective evolutionary algorithms (DMOEAs). However, the characteristics of the environmental changes are different and only use one single prediction model cannot react to the changes effectively. The mismatching of the changes and prediction m...
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Published in | Applied soft computing Vol. 96; p. 106592 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.11.2020
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Subjects | |
Online Access | Get full text |
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