https://en.wikipedia.org/wiki/Test_functions_for_optimization
http://www.cinam.univ-mrs.fr/site/modmat/ecole_ete/exposes/cours_Cosmin_Marinica_potentiels.pdf
Sometimes you need test problems to work on problems.
Wikipedia. Test functions for optimization. https://en.wikipedia.org/wiki/Test_functions_for_optimization
Luo, Chuanjiang, Jian Sun, and Yusu Wang. "Integral estimation from point cloud in d-dimensional space: A geometric view." Proceedings of the twenty-fifth annual symposium on Computational geometry. ACM, 2009. Link
Larentzos, James P., et al. "Parameterizing complex reactive force fields using multiple objective evolutionary strategies (MOES). Part 1: ReaxFF models for cyclotrimethylene trinitramine (RDX) and 1, 1-diamino-2, 2-dinitroethene (FOX-7)." Journal of chemical theory and computation 11.2 (2015): 381-391. Link
Tušar, Tea, and Bogdan Filipič. "Visualization of Pareto front approximations in evolutionary multiobjective optimization: A critical review and the prosection method." IEEE Transactions on Evolutionary Computation 19.2 (2015): 225-245. Link
Serna, J. I., et al. "Trade-off bounds for the Pareto surface approximation in multi-criteria IMRT planning." Physics in Medicine & Biology 54.20 (2009): 6299. Link
Teichert, K., et al. "Comparative analysis of Pareto surfaces in multi-criteria IMRT planning." Physics in Medicine & Biology 56.12 (2011): 3669.
Brockhoff, Dimo, and Eckart Zitzler. "Dimensionality reduction in multiobjective optimization with (partial) dominance structure preservation: Generalized minimum objective subset problems." TIK Report 247 (2006). Link
https://www.quora.com/What-is-the-best-online-course-to-learn-AI
https://www.marketingaiinstitute.com/blog/17-artificial-intelligence-courses-to-take-online