Test functions for benchmarking single-objective robust algorithms:

1. Test suite 1: Five obstacles and difficulties such as desired number of variables, bias, deceptiveness, multi-modality, and flatness are proposed to design challenging robust test problems and resolve the deficiency. A standard test suit of eight robust benchmark problems is proposed along with controlling parameters that allow researchers to adjust and achieve the desired level of difficulty.

Source Codes of this test suite are available here

Test functions for benchmarking multi-objective robust algorithms:

1. Test suite 1: A set of 22 challenging multi-objective test problems for benchmarking the performance of robust multi-objective optimization algorithms. The submission includes test functions as well as files for drawing the parameter space and objective space of the test functions.

Source Codes of this test suite are available here