A mathematical model for two-dimensional nonlinear inverse heat conduction problem (IHCP) is established. Three kinds of genetic algorithm at different modified phase are proposed for identifying material thermal conductivity and strength of heat source. Convergence speed and calculation precision of genetic algorithms at different modified phase are compared. Calculation results show that the genetic algorithm modified strategy proposed achieve higher convergence speed and calculation precision.