To　solve　the　problem　of　the　premature　convergence　and　the　slow　convergence　of　Genetic　Algorithms,　an　adaptive　Genetic　Algorithms　based　on　real　coded　(RAGA)　was　proposed　to　improve　the　coding　modes,　genetic　operators,　etc.　Optimization　simulation　results　based　on　typical　complex　functions　show　that　the　optimal　convergence　rate　and　global　hitting　probability　of　the　proposed　algorithm　are　much　better　than　those　of　simple　Genetic　algorithms.