R 2 -Based MultiMany-Objective Particle Swarm Optimization
Joint Authors
Díaz-Manríquez, Alan
Toscano, Gregorio
Barron-Zambrano, Jose Hugo
Tello-Leal, Edgar
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-09
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
We propose to couple the R2 performance measure and Particle Swarm Optimization in order to handle multi/many-objective problems.
Our proposal shows that through a well-designed interaction process we could maintain the metaheuristic almost inalterable and through the R2 performance measure we did not use neither an external archive nor Pareto dominance to guide the search.
The proposed approach is validated using several test problems and performance measures commonly adopted in the specialized literature.
Results indicate that the proposed algorithm produces results that are competitive with respect to those obtained by four well-known MOEAs.
Additionally, we validate our proposal in many-objective optimization problems.
In these problems, our approach showed its main strength, since it could outperform another well-known indicator-based MOEA.
American Psychological Association (APA)
Díaz-Manríquez, Alan& Toscano, Gregorio& Barron-Zambrano, Jose Hugo& Tello-Leal, Edgar. 2016. R 2 -Based MultiMany-Objective Particle Swarm Optimization. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1099592
Modern Language Association (MLA)
Díaz-Manríquez, Alan…[et al.]. R 2 -Based MultiMany-Objective Particle Swarm Optimization. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1099592
American Medical Association (AMA)
Díaz-Manríquez, Alan& Toscano, Gregorio& Barron-Zambrano, Jose Hugo& Tello-Leal, Edgar. R 2 -Based MultiMany-Objective Particle Swarm Optimization. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1099592
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099592