A Review of Surrogate Assisted Multiobjective Evolutionary Algorithms
Joint Authors
Díaz-Manríquez, Alan
Toscano, Gregorio
Tello-Leal, Edgar
Barron-Zambrano, Jose Hugo
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-12
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Multiobjective evolutionary algorithms have incorporated surrogate models in order to reduce the number of required evaluations to approximate the Pareto front of computationally expensive multiobjective optimization problems.
Currently, few works have reviewed the state of the art in this topic.
However, the existing reviews have focused on classifying the evolutionary multiobjective optimization algorithms with respect to the type of underlying surrogate model.
In this paper, we center our focus on classifying multiobjective evolutionary algorithms with respect to their integration with surrogate models.
This interaction has led us to classify similar approaches and identify advantages and disadvantages of each class.
American Psychological Association (APA)
Díaz-Manríquez, Alan& Toscano, Gregorio& Barron-Zambrano, Jose Hugo& Tello-Leal, Edgar. 2016. A Review of Surrogate Assisted Multiobjective Evolutionary Algorithms. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1099819
Modern Language Association (MLA)
Díaz-Manríquez, Alan…[et al.]. A Review of Surrogate Assisted Multiobjective Evolutionary Algorithms. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1099819
American Medical Association (AMA)
Díaz-Manríquez, Alan& Toscano, Gregorio& Barron-Zambrano, Jose Hugo& Tello-Leal, Edgar. A Review of Surrogate Assisted Multiobjective Evolutionary Algorithms. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1099819
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099819