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中文摘要：
研究了多目标柔性作业车间调度问题,构建了以制造工期、加工成本及交货期为目标函数的柔性作业车间多目标调度模型,应用改进的强度Pareto进化算法（SPEA）进行求解。在该算法中,引入模糊C-均值聚类（FCM）加快外部种群的聚类过程。采用约束Pareto支配和双层编码策略,一次运行就能够求得Pareto最优解集,并利用模糊集合理论的方法得到Pareto解的优先选择序列和选出一个最优解。最后,将该方法应用于某机械公司车间调度中,验证了该方法的有效性和适应性。
英文摘要：
To solve FJSP,a multi-objective FJSP optimization model was set up,concerned with time,cost and delivery satisfaction.The optimal solutions were obtained by using improved SPEA.The SPEA was improved by introducing the fuzzy C-means clustering algorithm to accelerate the clustering procedure within the external population.With the constraint Pareto domination concept and the two-level representation schema,a Pareto optimal set could be achieved in a single run.Then the preference sequence of Pareto solutions was achieved and a solution was extracted as the best compromise one based on set theory.The feasibility and validity of the proposed algorithm have been proved by the results in a workshop scheduling.
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An exploratory study of the general requirement representation model for product configuration in ma
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