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, 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