# Performance ## Performance profile and data profile ## Unconstrained optimization This section compares `smt-optim` (EGO) with COBYLA on five global optimization problems. For each problem, five instances are proposed, each with a unique design of experiment (DoE), for a total of 25 instances. The data profiles below are used to compare the required budget to $\tau$-solve an instance. Note that COBYLA is a derivative-free local optimizer, whereas EGO is a global optimizer. The purpose of the benchmark below is to demonstrate the global convergence of EGO. The five global optimization problems are the following: - Ackley - Griewank - Levy - Rastrigin - Schwefel The data profile is for the two-dimensional representation of the five selected problems. Each initial DoE comprises three points. Cobyla started from the point with the lowest objective value. ![image](misc/perf/unconstrained_data_profile.png) ## Constrained optimization ## Multi-fidelity optimization