To dos

Insert design variables to database table from user, then automatically start optimization

Export optimized X_next, Y_expected and Y_uncertainty to database table, then user pick the data row and insert the evaluated objectives

Support different types of custom stopping criterion for optimization

Support advanced settings (customization) for optimization algorithm

Work with user provided initial samples instead of randomly generated

Support changing reference point in the middle of optimization (recompute hypervolume)

Stochastic environment (noisy evaluation)