In　this　paper,　the　problems　of　radio　resource　allocation　for　Orthogonal　Frequency　Division　Multiple　Access　(OFDMA)　systems　are　addressed.　The　main　goal　of　this　paper　is　to　present　and　analyze　base　station　allocation　of　subcarriers　and　adaptive　modulation.　We　impose　a　set　of　proportional　fairness　constraints　to　assure　that　each　user　can　achieve　a　required　data　rate.　Since　the　optimal　solution　to　the　fairness　problem　is　extremely　computationally　complex　to　obtain,　we　propose　an　adaptive　radio　resource　allocation　method　based　on　differential　evolutionary　algorithm　for　multiuser　OFDMA　system.　The　performance　of　the　described　schemes　is　further　evaluated　in　numerical　experiments.　We　improve　the　convergence　of　the　differential　evolutionary　algorithm　through　the　method　of　elitist　selection　and　adding　some　individuals　with　＇good＇　genes　to　the　initial　population.　Simulation　results　show　that　out　proposed　algorithm　better　than　static　subcarrier　allocation　schemes　TDMA　in　multiuser　OFDMA　system.