This paper presents a Bird Mating Optimization method for one-to-n skill matching. The method proposed finds the optimal combination of skills from two or more CVs that best satisfies a job description. In our approach the CV sets as well as the job description are described semantically by using a skilltaxonomy. To evaluate the quality of a solution (i.e. a set of CVs that satisfies the job description considered) we have defined a fitness function that evaluates the degree of semantic matching of the combination of skills part of the considered solution to the set of skills of the job description. The method proposed has been tested on a set of 1000 CVs in the domain of computer science, the set being developed in house.