Scalable test functions for multidimensional continuous optimization

Abstract

Multidimensional scalable test functions are very important in testing the capabilities of new optimization methods, especially in evaluating their response with the increase of the search space dimension. The paper is proposing new sets of test functions for continuous optimization, both unconstrained (or only box constrained) and constrained.