2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/32010This paper presents a parameter-less optimization framework that uses the extended compact genetic algorithm (ECGA) and iterated local search (ILS), but is not restricted to these algorithms. The presented optimization algorithm (ILS+ECGA) comes as an extension of the parameter-less genetic algorithm (GA), where the parameters of a selecto-recombinative GA are eliminated. The approach that we propose is tested on several well known problems. In the absence of domain knowledge, it is shown that ILS+ECGA is a robust and easy-to-use optimization method.12 pages, submitted to gecco 2004Neural and Evolutionary ComputingG.1.6; I.2.6; I.2.8text