基于AM-GA算法的制造车间多目标调度优化OA

Aiming at the multi-objective optimization problem of manufacturing workshop scheduling,a workshop scheduling model is constructed,and a novel multi-objective optimization method for workshop re-source scheduling based on the Adjacency Matrix-Genetic Algorithm(AM-GA)is proposed.Taking the ge-netic algorithm as the basic framework,this method integrates the adjacency matrix-based directional match-ing strategy,multi-objective processing,and an improved basic bit mutation operator.The dynamic program-ming of process routes is realized through the integration with the adjacency matrix.The algorithm exhibits fa-vorable scalability and global search capability in solving resource scheduling optimization problems under multi-objective workshop scenarios.Finally,experiments are carried out using data from an electronic product manufacturing workshop for comparative analysis.The results demonstrate that the proposed method can effi-ciently and accurately address the scheduling optimization problems in electronic product manufacturing work-shops characterized by multi-objective,multi-route,and multi-resource manufacturing scenarios.