The invention discloses a hole group machining path optimization method based on small-world network searching. The method includes the steps that when hole groups are machined, an initial antibody population A is generated randomly, and each antibody in the initial antibody population A corresponds to one machining sequence of holes; the initial antibody population A is evaluated according to theoptimization condition, and elite antibodies in the initial antibody population A are reserved to form an antibody population B; each elite antibody in the antibody population B is subjected to clonecopying, so that an antibody population C is obtained; elite antibodies in the antibody population C are subjected to small-world network searching operation, short-range optimization operators and long-range optimization operators are included, and accordingly an antibody population D is obtained; each elite antibody in the antibody population B is subjected to quantum crossover, so that an antibody population E is obtained; high-quality antibodies are selected from the elite antibodies of the antibody population D and the antibody population E to form an antibody population F; and whether terminal is required or not is judged. By adoption of the method, a small-world network searching model is combined with a cloning selection method, the machining path length can be decreased, the machining speed is increased, and the reverse conversion frequency of cutters is reduced.