The embodiment of the invention discloses a hybrid algorithm scheduling method and system based on a variable neighborhood search and a gravitational search. The method comprises the steps of 1, setting parameters for an algorithm; 2, initializing an initial solution of the algorithm; 3, performing a local search based on GSA; 4, updating the initial solution; 5, determining whether a terminationcondition of an executed algorithm is satisfied, outputting a global optimal solution of the algorithm search if the condition is satisfied, and returning to step 3 if the condition is not satisfied.According to the hybrid algorithm scheduling method and system based on the variable neighborhood search and the gravitational search, an approximate optimal solution can be obtained for a continuousbatch processing scheduling problem based on a position learning effect and a linear starting time, so that an enterprise can make full use of productive resources to the maximum extent, production costs are reduced, and the levels of enterprise service and customer satisfaction are improved.