Multi-target group intelligent optimization method and system for two-stage task scheduling

The invention discloses a multi-target group intelligent optimization method and system for two-stage task scheduling. The method comprises the following steps: 1) analyzing collected user request information and cluster state information; (2) key parameters of an invasive tumor growth optimization algorithm ITGO (Invasive Tumor Growth Optimization) are set, information obtained through analysis is input into the algorithm, and the algorithm is initialized; 3) executing an algorithm iterative calculation process, and sequentially performing IPOX cell crossover operation, bidirectional Levy flight operation, seqMutate cell mutation operation and pruning operation according to congestion degree threshold judgment in each iteration until the number of iterations reaches the maximum number of iterations; and 4) generating a scheduling scheme of the batch processing calculation task group. According to the method, algorithm iterative calculation operation of the ITGO is improved and designed based on the Pareto mo