Extra Material


Supplementary material

  • A. Mazumdar, T. Chugh, J. Hakanen, K. Miettinen, An Interactive Framework for Offline Data-Driven Multiobjective Optimization, in "9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA 2020)". Supplementary material on github,(Submitted)
  • A. Habib, H. K. Singh, T. Chugh, T. Ray and K. Miettinen, A Multiple Surrogate Assisted Decomposition-Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization, in "IEEE Transactions on Evolutionary Computation, vol. 23, no. 6, pp. 1000-1014, Dec. 2019". Supplementary material
  • A. Mazumdar, T. Chugh, K. Miettinen, M. López-Ibáñez, 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)". Supplementary material on github
  • A. Lovison, K. Miettinen, On the Extension of the DIRECT Algorithm to Multiple Objectives, Manuscript, 2019. Supplementary material in GeoGebra
  • J.E. Fieldsend, T. Chugh, R. Allmendinger, K. Miettinen, A Feature Rich Distance-Based Many-Objective Visualisable Test Problem Generator, in "Proceedings of the Genetic and Evolutionary Computation Conference, (GECCO-2019), The Association of Computing Machinery (ACM), 2019, to appear. 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)",. Supplementary material on github