For the complex product batch integrated scheduling problem, a mathematical model is formulated to minimize makespan, and a batch integrated scheduling algorithm based on decoding reverse feedback adjustment mechanism is proposed. The genetic algorithm is adopted to solve this problem. A two-layer chromosome encoding method suitable for dynamic batch is designed, the batch processing of batch equipment is analyzed, and the exact non-batch judgment criteria are derived. On this basis, an active decoding method considering the functions of single-step inspection batch processing misjudgment and unified adjustment of multi-step batch processing is proposed. At the same time, in order to further improve the performance of the algorithm, a decoding reverse feedback adjustment mechanism for correcting the batch chromosome is also proposed to achieve bidirectional interaction and share excellent information. Experimental results indicate that by adopting the two-layer chromosome encoding, active decoding method, and decoding reverse feedback adjustment mechanism, the proposed algorithm significantly outperforms other comparison algorithms in fixing the studied problem.