Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms
Hakanen J, Chugh T, Sindhya K, Jin Y, Miettinen K (2016)
In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE: 1-8.
Konferenzbeitrag
| Veröffentlicht | Englisch
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Autor*in
Hakanen, Jussi;
Chugh, Tinkle;
Sindhya, Karthik;
Jin, YaochuUniBi 
;
Miettinen, Kaisa
;
Miettinen, KaisaAbstract / Bemerkung
We study how different types of preference information coming from a human decision maker can be utilized in an interactive multiobjective evolutionary optimization algorithm (MOEA). The idea is to convert different types of preference information into a unified format which can then be utilized in an interactive MOEA to guide the search towards the most preferred solution(s). The format chosen here is a set of reference vectors which is used within the interactive version of the reference vector guided evolutionary algorithm (RVEA). The proposed interactive RVEA is then applied to the multiple-disk clutch brake design problem with five objectives to demonstrate the potential of the idea in supporting decision making in optimization problems involving more than three objectives.
Erscheinungsjahr
2016
Titel des Konferenzbandes
2016 IEEE Symposium Series on Computational Intelligence (SSCI)
Seite(n)
1-8
Konferenz
2016 IEEE Symposium Series on Computational Intelligence (SSCI)
Konferenzort
Athens, Greece
eISBN
978-1-5090-4240-1
Page URI
https://pub.uni-bielefeld.de/record/2978490
Zitieren
Hakanen J, Chugh T, Sindhya K, Jin Y, Miettinen K. Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms. In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE; 2016: 1-8.
Hakanen, J., Chugh, T., Sindhya, K., Jin, Y., & Miettinen, K. (2016). Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms. 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8. IEEE. https://doi.org/10.1109/SSCI.2016.7850220
Hakanen, Jussi, Chugh, Tinkle, Sindhya, Karthik, Jin, Yaochu, and Miettinen, Kaisa. 2016. “Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms”. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8. IEEE.
Hakanen, J., Chugh, T., Sindhya, K., Jin, Y., and Miettinen, K. (2016). “Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms” in 2016 IEEE Symposium Series on Computational Intelligence (SSCI) (IEEE), 1-8.
Hakanen, J., et al., 2016. Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, pp. 1-8.
J. Hakanen, et al., “Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms”, 2016 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2016, pp.1-8.
Hakanen, J., Chugh, T., Sindhya, K., Jin, Y., Miettinen, K.: Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms. 2016 IEEE Symposium Series on Computational Intelligence (SSCI). p. 1-8. IEEE (2016).
Hakanen, Jussi, Chugh, Tinkle, Sindhya, Karthik, Jin, Yaochu, and Miettinen, Kaisa. “Connections of reference vectors and different types of preference information in interactive multiobjective evolutionary algorithms”. 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2016. 1-8.
Closed Access
Google Scholar