The No Free Lunch Theorems (NFL) have dramatically changed the perspective in the design and application of optimization methods. The theorems state the non-existence of a universal optimizer that performs better than any other algorithm. Therefore, it is important to use different algorithms on different problems, to obtain the best performance. KIMEME includes a rich library of state-of-the-art meta-heuristics (such as NSGA-III, MOjDE, BOBYQA and BFGS, and many others) which are well-known for their performance and robustness. Moreover, KIMEME has the unique feature of including a graphical editor and IDE that allows you to easily develop new algorithms incorporating domain knowledge and leveraging the most modern advances in the field of computational optimization.