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.