Supplementary material
- Saini, B. S., Singh, H. K., Shavazipour, B., Miettinen, K.,
An Efficient
Iterative Approach for Uniformly Representing Pareto Fronts,
to appear. Supplementary material on Nextcloud
- Liang, M., Shavazipour, B., Saini, B., Emmerich, M., Miettinen, K.,
A Modified Preference-Based Hypervolume Indicator for Interactive Evolutionary Multiobjective Optimization Methods,
to appear in Proceedings of the 16th International Joint Conference on Computational Intelligence. Supplementary material in Zenodo ; Source code in GitHub
- Afsar, B., Silvennoinen, J., Ruiz, F., Ruiz, A.B., Misitano, G.,
Miettinen, K., An experimental design for comparing
interactive methods based on their desirable properties, manuscript.
Supplementary
material in NextCloud (Sustainability problem in brief, overviews
of interactive methods compared, user interface designs for them,
material used in the experiments in Spanish)
-
Afsar, B., Silvennoinen, J., Misitano, G., Ruiz, F., Ruiz,
A.B.,
Miettinen, K., Designing Empirical Experiments to Compare
Interactive Multiobjective Optimization Methods, to appear in the
Journal of Operational Research Society.
Supplementary
material in NextCloud (Sustainability problem and interactive
methods compared);
Supplementary
material in NextCloud (Summary of the sustainability problem)
-
Afsar B., Miettinen, K., Ruiz, A.B., Artificial Decision
Maker for Comparing Reference Point Based Interactive Evolutionary
Multiobjective Optimization Methods, in "11th International
Conference Series on Evolutionary Multi-Criterion Optimization (EMO
2021), Proceedings", Edited by H. Ishibuchi, Q. Zhang, R. Cheng,
K. Li, H. Li, H. Wang, A. Zhou, Springer, 619-631, 2021. Supplementary
material on github.
Code
-
Lovison, A., Miettinen, K., On the Extension of the DIRECT
Algorithm to Multiple Objectives, Journal of Global Optimization,
79(2), 387-412, 2021.
Supplementary material in GeoGebra
-
Mazumdar, A., Chugh, T., Hakanen, J., Miettinen, K., An
Interactive Framework for Offline Data-Driven Multiobjective
Optimization, in "9th International Conference on
Bioinspired Optimisation Methods and Their Applications (BIOMA 2020),
Proceedigs", Edited by B Filipic, E. Minisci, M. Vasile,
Springer, 97-209, 2020. Supplementary
material on github,
-
Habib, A., Singh, H.K., Chugh, T., Ray, T. Miettinen, K., A Multiple
Surrogate Assisted Decomposition-Based Evolutionary Algorithm for Expensive
Multi/Many-Objective Optimization, IEEE Transactions on Evolutionary
Computation, 23(6), 1000-1014, 2019. Supplementary material
-
Mazumdar, A., Chugh, T., Miettinen, K., Lopez-Ibanez, M. On
Dealing with Uncertainties from Kriging Models in Offline
Data-driven Evolutionary Multiobjective Optimization, in
"10th International Conference on Evolutionary Multi-Criterion
Optimization (EMO 2019), Proceedings", Edited by K. Deb,
E. Goodman, C. A. C. Coello, K. Klamroth, K. Miettinen,
S. Mostaghim, P. Reed, Springer, 463-474, 2019. Supplementary
material on github
-
Fieldsend, J.E., Chugh, T., Allmendinger, R., Miettinen, K., A Feature
Rich Distance-Based Many-Objective Visualisable Test Problem Generator, in
"Proceedings of the Genetic and Evolutionary Computation Conference,
(GECCO-2019), Edited by M. Lopez-Ibanez, The Association of Computing
Machinery (ACM), New York, 541-549, 2019.
Generator code in
github
-
Chugh, T., Allmendinger, R., Ojalehto, V., Miettinen, K., A
surrogate-assisted EMOA for problems with non-uniform objective latencies,
in " Proceedings of the 23rd Genetic and Evolutionary Computation
Conference (GECCO-2018)", Edited by H. Aguirre, The Association of
Computing Machinery (ACM), 609-616, 2018.
Supplementary
material on github
