Extra Material
Supplementary material
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,
Journal of Operational Research Society, 74(11), 2327-2338, 2023.
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
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