In　the　complex　conversion　analysis　for　multi-degrees　of　freedom,　there　are　large　calculation　counts　in　every　calculation　step　of　Genetic　Algorithm　which　limit　the　running　speed　of　genetic　algorithm.　So　to　reduce　the　positive　calculation　counts　is　an　effective　method　to　enlarge　the　range　of　GA＇s　application.　Empirical　Genetic-simplex　Algorithm　is　one　of　the　effective　methods　to　solve　the　problem.　In　this　paper,　Empirical　Genetic-Simplex　Algorithm　is　applied　to　structural　physical　parameters　identification　based　on　the　dynamic　response　conditions　and　incomplete　modal　parameters.　The　result　shown　that　Empirical　Genetic-Simplex　Algorithm　has　advantages　of　precision,　efficiency　in　searching,　of　being　strong　to　resist　the　noise,　and　it　is　good　adapting　to　the　incomplete　information.