R2-BEAN: R2 indicator based evolutionary algorithm for noisy multiobjective optimization

Dung H. Phan; Junichi Suzuki

doi:10.1109/CISDA.2014.7035637

R2-BEAN: R2 indicator based evolutionary algorithm for noisy multiobjective optimization

Dung H. Phan
, Junichi Suzuki

Computer Science

University of Massachusetts Boston

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings of the 2014 7th IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479954315
DOIs	https://doi.org/10.1109/CISDA.2014.7035637
State	Published - Feb 6 2015
Event	7th IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2014 - Hanoi, Viet Nam Duration: Dec 14 2014 → Dec 17 2014

Publication series

Name	Proceedings of the 2014 7th IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2014

Conference

Conference	7th IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2014
Country/Territory	Viet Nam
City	Hanoi
Period	12/14/14 → 12/17/14

ASJC Scopus Subject Areas

Artificial Intelligence
Computational Theory and Mathematics
Computer Science Applications
Safety, Risk, Reliability and Quality

Access to Document

10.1109/CISDA.2014.7035637

Cite this

Phan, D. H., & Suzuki, J. (2015). R2-BEAN: R2 indicator based evolutionary algorithm for noisy multiobjective optimization. In Proceedings of the 2014 7th IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2014 Article 7035637 (Proceedings of the 2014 7th IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CISDA.2014.7035637

R2-BEAN: R2 indicator based evolutionary algorithm for noisy multiobjective optimization. / Phan, Dung H.; Suzuki, Junichi.
Proceedings of the 2014 7th IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2014. Institute of Electrical and Electronics Engineers Inc., 2015. 7035637 (Proceedings of the 2014 7th IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Phan, DH & Suzuki, J 2015, R2-BEAN: R2 indicator based evolutionary algorithm for noisy multiobjective optimization. in Proceedings of the 2014 7th IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2014., 7035637, Proceedings of the 2014 7th IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2014, Institute of Electrical and Electronics Engineers Inc., 7th IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2014, Hanoi, Viet Nam, 12/14/14. https://doi.org/10.1109/CISDA.2014.7035637

Phan DH, Suzuki J. R2-BEAN: R2 indicator based evolutionary algorithm for noisy multiobjective optimization. In Proceedings of the 2014 7th IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2014. Institute of Electrical and Electronics Engineers Inc. 2015. 7035637. (Proceedings of the 2014 7th IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2014). doi: 10.1109/CISDA.2014.7035637

Phan, Dung H. ; Suzuki, Junichi. / R2-BEAN : R2 indicator based evolutionary algorithm for noisy multiobjective optimization. Proceedings of the 2014 7th IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2014. Institute of Electrical and Electronics Engineers Inc., 2015. (Proceedings of the 2014 7th IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2014).

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R2-BEAN: R2 indicator based evolutionary algorithm for noisy multiobjective optimization

Publication series

Conference

ASJC Scopus Subject Areas

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