Atribución-NoComercial 4.0 InternacionalNavarro, RicardoPuris, AmilkarBello, Rafael2019-07-032019-07-032013https://repositorio.unal.edu.co/handle/unal/73151Many hard optimization problems can only be effectively handled by meta-heuristic methods. Some continuous optimization problems have specifi c characteristics that demand a particular interest. These features include the location of the optima in a specifi c region of search space. Hence the main goal of this paper is assessing the  performance of some outstanding population-based meta-heuristics on functions with optima on bounds and problems with optima off bounds. It is studied by taking a set of benchmark functions from the fi eld of optimization as a point of departure.application/pdfspaDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/Artículo de revistahttp://bdigital.unal.edu.co/37626/info:eu-repo/semantics/openAccesscontinuous optimizationmeta-heuristicsearch space bounds