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An Integrated Hybrid Petri Net and GA Based Approach for Scheduling of Mixed Batch/Continuous Processes

This paper presents an efficient way to maximize the throughput of mixed batch/continuous process based on integrated hybrid time Petri nets and genetic algorithm. The scheduling problem of process is mapped as the solution of the optimal regional state sequence in HTPNs. The transition firing decision model is developed according to the enabling and firing rules, and a genetic algorithm of scheduling of mixed batch/continuous process is presented. The optimal feasible scheduling policy can be efficiently obtained by the proposed algorithm. In addition, algorithm is illustrated through case study.