The paper presents the combinatorial implementation of an adaptive parameter-less evolutionary-based search. The algorithm is an extension of a basic numerical algorithm that does not need any predefined control parameters values. These values are calculated by the algorithm itself, according to the progress of the search. The efficiency of the proposed autonomous parameter-less algorithm is evaluated by two real-world industrial optimization problems.