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Abstract

In order to solve the problem of workshop scheduling optimization of the hybrid production process, a pseudo-reverse learning compact genetic algorithm integrating imulated annealing and adaptive-mutation (IAAMPRLCGA) was proposed. Combine it with local assignment rules to solve the problem. The IAAMPRLCGA algorithm improves the anti-precocious ability of the compact genetic algorithm, improves the quality and diversity of generating new individuals, gives full play to the efficient global search ability of the compact genetic algorithm, solves the problem that the compact genetic algorithm is easy to fall into local optimum, and further enhances the overall performance of the algorithm. The results show that the IAAMPRLCGA algorithm can effectively solve the problem of workshop scheduling optimization of hybrid production process when combined with local assignment rules.