The inventiondiscloses a mechanism kinematic link isomorphism identification method based on the immunity genetic hybrid algorithm. The mechanism kinematic link isomorphism identification method includes the steps of (1) forming a topological graph corresponding to a mechanism kinematic link according to the structural mode of the mechanism kinematic link, (2) setting a genetic code of an adjacent matrix according to the topological graph, (3) taking adjacent matrixes, to be determined, of the two topological graphs, determining an objective function, (4) generating the initial antibody population at random, calculating adaptability of each individual, sequencing the individuals according to the adaptability, (5) taking the optimal saving strategy on the initial antibody population, (6) calculating the concentration of each individual, enabling the each individual concentration to be equal to a value obtained by dividing the total individual number in a population by the adjacent individual sum, (7) taking the optimal interaction strategy on the antibody population obtained in the step (5), (8) conducting the mutation operation, adopting the inverse operator to achieve the mutation operation, (9) combining the local search operator and the genetic algorithm, (10) forming the immunity genetic hybrid algorithm, and conducting the isomorphism identification operation on the mechanism kinematic link. The mechanism kinematic link isomorphism identification method overcomes the shortcoming that the immunity genetic hybrid algorithm can be easily restrained to local optimum.